CN115664463A - Radio interference signal generation method and radio interference signal generation device - Google Patents
Radio interference signal generation method and radio interference signal generation device Download PDFInfo
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Abstract
The invention discloses a radio interference signal generating method and a radio interference signal generating device, which comprises the steps of intercepting a radio signal, screening pulse signals in the radio signal, and carrying out signal sorting on the pulse signals to obtain sorting signals; obtaining signal parameters corresponding to the sorting signals through short-time Fourier transform calculation; inputting the signal parameters into an interference signal judgment model, and outputting an orthogonal interference signal waveform database; generating a pseudo-random address code, and reading out sampling data in an orthogonal interference signal waveform database through the pseudo-random address code; generating an interference signal according to the sampling data; determining an interference delay and transmitting a delayed interference signal; the invention realizes the screening of signals needing interference from a plurality of signals and obtains accurate sampling data through the judgment model, thereby avoiding the generation of interference signals in a rotation mode, being capable of pertinently producing the interference signals and improving the interference efficiency and the interference success rate.
Description
Technical Field
The present invention relates to the field of radio technologies, and in particular, to a radio interference signal generation method and a radio interference signal generation apparatus.
Background
With the development of scientific technology at the present stage, radio signals are widely applied, so that the electromagnetic environment is complex in an airspace at the present stage, a plurality of other signals also exist near various radio signals, and interference signals required by different radio signals are different, so that most radio interference devices at the present stage realize interference on a target by rotating various interference signals of different types, and the problems of low interference efficiency, low interference success rate and the like during radio interference are solved.
Disclosure of Invention
The invention aims to solve the technical problems that various interference signals need to be rotated and signals to be interfered cannot be identified in a targeted manner, and provides a radio interference signal generation method and a radio interference signal generation device, so that the problems of low interference efficiency and low success rate are solved.
The invention is realized by the following technical scheme:
a radio interference signal generating method, comprising:
intercepting a radio signal, screening pulse signals in the radio signal, and carrying out signal sorting on the pulse signals to obtain sorting signals;
obtaining signal parameters corresponding to the sorting signals through short-time Fourier transform calculation;
inputting the signal parameters into an interference signal judgment model, and outputting an orthogonal interference signal waveform database;
generating a pseudo-random address code, and reading out sampling data in an orthogonal interference signal waveform database through the pseudo-random address code;
generating an interference signal according to the sampling data;
an interference delay is determined and a delayed interference signal is transmitted.
Specifically, the method for sorting the signals comprises the following steps:
s11, acquiring a plurality of signal pulses to be processed;
s12, obtaining a detection threshold calculation function,
wherein E is the total number of peaks, C is the total number of lattices in the histogram, C is the number of difference stages, a and b are constant coefficients,
the time of the current narrow pulse is shown, and e is a natural constant;
s13, setting the difference series c =0, calculating a detection threshold, obtaining a c-th level difference histogram, performing sub-harmonic detection, and taking all values exceeding the detection threshold as potential PRI values;
s14, counting and sequencing the potential PRI values according to the difference value, determining the number, defaulting to be the potential PRI value if the number is one, and performing sequence retrieval; if the number is more than one, performing step S15;
s15, c = c +1 is set, a detection threshold of the c-th level difference value histogram is obtained, sub-harmonic detection is carried out, and all values exceeding the detection threshold are used as potential PRI values;
s16, counting and sequencing the potential PRI values according to the difference values, and carrying out sequence detection on the potential PRI values;
s17, if all potential PRI median values are not successfully searched, repeating the steps S15-S16; if the potential PRI value successfully searched exists, taking the difference value successfully searched as a real PRI value, and extracting a corresponding pulse sequence;
and S18, repeating the steps S11 to S17, sorting all the pulse sequences, and finishing signal sorting.
Specifically, the method for sequence retrieval comprises the following steps:
s20, let d =1; u =1; v =0;
s21, starting to search for the initial pulse from the d-th time point;
s22, searching whether a pulse exists in a step distance or not by taking the initial pulse as a starting point and the potential PRI estimated value as a step length;
s23, if yes, enabling the search to be successful and accumulating the pulse parameter u = u +1, simultaneously recording the current pulse, obtaining the pulse time q of the current pulse, simultaneously enabling d = q, and skipping to the step S21;
if not, making the searching unsuccessful accumulation parameter v = v +1;
s24, judging whether u is larger than a set threshold value, if so, fitting the recorded pulse to obtain an accurate PRI value and carrying out S26; if not, continuing to perform the step S23;
s25, judging whether v is larger than a set threshold value (obtained according to empirical data or experimental data), if not, continuing to perform the step S23; if yes, skipping the initial pulse position of the current signal, searching the initial pulse again, and performing step S22;
s26, judging whether the signal tail end is reached or not, and if not, repeating the step S24; if yes, the recorded pulse signal is extracted from the original signal, and the sequence search is completed.
Specifically, the interference signal judgment model is a trained neural network model, and an orthogonal interference signal waveform database corresponding to the interference signal is obtained by inputting signal parameters;
the method for generating the pseudo random address code comprises the following steps:
determining a pseudo-random sequence generation function:
wherein
In the form of a pseudo-random sequence,
in order to achieve a damping ratio,
for the length of the database of orthogonal interference signal waveforms,
is as follows
One of the symbols is selected from the group consisting of,
as a matter of time, the time is,
for generating periods of pseudo-random sequences，
Is the width of the symbol(s),
a binarized pseudorandom sequence of 1 and-1,
；
，
is the clock frequency at which the pseudo-random sequence is generated;
obtaining a pseudorandom address code of
And determining the period of the interference signal
Wherein L is a pseudo-random sequence obtained by a pseudo-random sequence generating function, L is a pseudo-random address code, and d is the shift register stage number of the sequence generator.
Specifically, the sampling data in the orthogonal interference signal waveform database is: I. q two paths of orthogonal zero intermediate frequency sampling data:
，
，
wherein
For the nth sample data of the I-path interference signal,
the nth sampling data of the Q-path interference signal is obtained, N is a sampling point, N is a total sampling data point, and A is a signal amplitude;
in order to be a sampling period of the orthogonal interference signal,
is a phase transformation;
the interference signal obtaining method comprises the following steps:
frequency control word for obtaining single carrier interference signal
Wherein
For the frequencies of the single-carrier interference signal,
the bit length of the first order accumulator;
determining quadrature interference signal sampling frequency
；
Frequency control word
And
inputting the signal into a digital control oscillator to obtain a single carrier interference signal:
；
frequency control word for obtaining frequency sweep interference signal
Wherein, in the step (A),
in order to provide for a sweep rate,
for the frequency resolution during the frequency sweep,
is the bit length of the second order accumulator;
frequency control word
、
And
inputting the frequency sweep interference signal into a digital control oscillator to obtain a frequency sweep interference signal:
；
and synthesizing the single carrier interference signal and the sweep frequency interference signal to obtain an interference signal.
Optionally, the method for obtaining the interference delay comprises:
predetermining random time delay
Setting a forwarding delay step size
The number M of delay times and the number M of forwarding delay times;
obtaining a delayed interference signal
。
A radio interference signal generating apparatus, comprising:
the receiving module is used for intercepting the radio signals and screening pulse signals in the radio signals;
the sorting module is used for carrying out signal sorting on the pulse signals to obtain sorting signals;
the parameter acquisition module is used for acquiring signal parameters corresponding to the sorting signals through short-time Fourier transform calculation;
the identification module is used for inputting the signal parameters into the interference signal judgment model and outputting an orthogonal interference signal waveform database; the interference signal judgment model is a trained neural network model, and an orthogonal interference signal waveform database corresponding to the interference signal is obtained by inputting signal parameters;
a random code module for generating a pseudo-random address code;
the reading module is used for reading out sampling data in the orthogonal interference signal waveform database through the pseudorandom address code;
a signal generation module for generating an interference signal from the sampled data;
a delay adding module, configured to determine an interference delay and obtain a delayed interference signal;
and the transmitting module is used for transmitting the interference signal after delaying the interference signal.
Optionally, the sorting module comprises:
an acquisition module for acquiring a plurality of signal pulses to be processed;
a function module for obtaining a detection threshold calculation function,
wherein E is the total number of peaks, C is the total number of bins of the histogram, C is the number of differential levels, a, b are constant coefficients,
the time of the current narrow pulse is shown, and e is a natural constant;
the first judgment module is used for setting the difference level number c =0, calculating a detection threshold, obtaining a c-th level difference histogram, performing sub-harmonic detection, and taking all values exceeding the detection threshold as potential PRI values;
the second judgment module is used for counting and sequencing the potential PRI values according to the difference value, determining the number, defaulting to be the potential PRI value if the number is one, and performing sequence retrieval; if the number is more than one, inputting the data to a third judgment module;
the third judgment module is used for enabling c = c +1, obtaining a detection threshold of a c-th level difference value histogram, carrying out sub-harmonic detection, and taking all values exceeding the detection threshold as potential PRI values;
the sequence retrieval module is used for counting and sequencing the potential PRI values according to the difference values and carrying out sequence detection on the potential PRI values;
the fourth judgment module is used for inputting all potential PRI median values into the third judgment module if the retrieval is not successful; if the potential PRI value successfully searched exists, taking the difference value successfully searched as a real PRI value, and extracting a corresponding pulse sequence;
the iteration module is used for returning to the acquisition module and sorting out all pulse sequences to finish signal sorting;
the sequence retrieval module comprises:
an assignment module to have d =1; u =1; v =0;
the first searching module is used for searching the starting pulse from the d-th time point;
the second searching module is used for searching whether a pulse exists in a step distance by taking the initial pulse as a starting point and the potential PRI estimated value as a step length;
the fifth judging module is used for finishing the judgment of the second searching module; if yes, enabling the search to be successful and accumulating the pulse parameter u = u +1, simultaneously recording the current pulse, obtaining the pulse time q of the current pulse, simultaneously enabling d = q, and inputting the pulse time q to the first search module;
if not, making the searching unsuccessful accumulation parameter v = v + 1;
a sixth judging module, configured to judge whether u is greater than a set threshold, and if yes, fit the recorded pulse to obtain an accurate PRI value and input the PRI value to the seventh judging module; if not, inputting the data to a fifth judging module;
the seventh judging module is used for judging whether v is larger than a set threshold value or not, and if not, the v is input to the fifth judging module; if yes, skipping the initial pulse position of the current signal, searching the initial pulse again, and inputting to the second searching module
The eighth judging module is used for judging whether the signal tail end is reached or not, and if not, inputting the signal to the sixth judging module; if yes, the recorded pulse signal is extracted from the original signal, and the sequence search is completed.
Optionally, the random code module includes:
a function determination module to determine a pseudo-random sequence generation function:
wherein
In order to be a pseudo-random sequence,
in order to achieve the damping ratio,
for the length of the database of orthogonal interference signal waveforms,
is a first
One of the symbols is selected from the group consisting of,
in the form of a time, the time,
for the period in which the pseudo-random sequence is generated,
is the width of the symbol(s),
a binarized pseudorandom sequence of 1 and-1,
；
，
clock frequency when pseudo-random sequence is generated;
a random code generation module for obtaining a pseudo-random address code of
And determining the period of the interference signal
Wherein L is a pseudo-random sequence obtained by a pseudo-random sequence generating function, L is a pseudo-random address code, and d is the shift register stage number of the sequence generator.
Optionally, the sampling data in the orthogonal interference signal waveform database is: I. q two paths of orthogonal zero intermediate frequency sampling data:
，
，
in which
For the nth sample data of the I-path interference signal,
for the nth acquisition of Q interfering signalsSample data, wherein N is a sampling point, N is a total sampling data point, and A is a signal amplitude;
in order to be a sampling period of the orthogonal interference signal,
is a phase transformation;
the signal generation module includes:
a first obtaining module of frequency control words for obtaining the frequency control words of the single carrier interference signal
Wherein
For the frequencies of the single-carrier interference signal,
the bit length of the first order accumulator;
a sampling frequency calculation module for determining a quadrature interference signal sampling frequency
；
Single carrier interference signal acquisition module for converting frequency control words
And
inputting the signal into a digital control oscillator to obtain a single carrier interference signal:
；
a second acquisition module for acquiring frequency control word of the sweep-frequency interference signal
Wherein, in the process,
in order to provide for a sweep rate,
for the frequency resolution during the frequency sweep,
is the bit length of the second order accumulator;
a swept-frequency interference signal acquisition module for converting a frequency control word
、
And
inputting the frequency sweep interference signal into a digital control oscillator to obtain a frequency sweep interference signal:
；
the interference signal acquisition module is used for synthesizing a single carrier interference signal and a frequency sweeping interference signal to obtain an interference signal;
the delay adding module comprises:
a predetermining module for predetermining a random time delay
Setting a forwarding delay step size
The number M of delay times and the number M of forwarding delay times;
a delayed signal acquisition module for obtaining a delayed interference signal
。
Compared with the prior art, the invention has the following advantages and beneficial effects:
intercepting all pulse signals, sorting the pulse signals to obtain signals needing interference, converting the signals to obtain related parameters, determining an interference signal waveform database corresponding to the signals through an interference signal judgment module, obtaining sampling data in the database through pseudo-random codes, and then interfering the signals through the sampling data; the invention realizes the screening of signals needing interference from a plurality of signals and obtains accurate sampling data through the judgment model, thereby avoiding the generation of interference signals in a rotation mode, being capable of pertinently producing the interference signals and improving the interference efficiency and the interference success rate.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the principles of the invention.
Fig. 1 is a flow chart of a radio interference signal generating method according to the present invention.
Fig. 2 is a schematic flow diagram of a method of signal sorting according to the present invention.
Fig. 3 is a flow chart of sequence retrieval according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant disclosure and are not to be considered as limiting.
It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
In the present invention, the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Example one
As shown in fig. 1, the present embodiment provides a radio interference signal generating method, including:
in the first step, a radio signal is intercepted and a pulse signal in the radio signal is screened.
And secondly, performing signal sorting on the pulse signals to obtain sorted signals, wherein the signal sorting is a key technology for targeted signal interference, useful signals need to be sorted from a large amount of intercepted pulse signal streams, and the process of signal sorting is very complicated due to the fact that the types of radiation sources in the current space are very many, and the signal sorting method in the embodiment mainly determines the estimated potential PRI through sequence search and extracts the pulse sequences, as shown in FIG. 2.
S11, acquiring a plurality of signal pulses to be processed; and calculating the difference of the TOAs of the adjacent pulses, and counting and sorting according to the difference.
S12, obtaining a detection threshold calculation function,
where E is the total number of peaks, C is the total number of bins of the histogram, C is the number of difference stages, a, b are constant coefficients, usually obtained from empirical or experimental data,
the time of the current narrow pulse is shown, and e is a natural constant;
s13, setting the difference level number c =0, calculating a detection threshold, obtaining a c-th level difference histogram, performing sub-harmonic detection, and taking all values exceeding the detection threshold as potential PRI values;
s14, counting and sequencing the potential PRI values according to the difference value, determining the number, defaulting to be the potential PRI value if the number is one, and performing sequence retrieval; if the number is more than one, performing step S15; comparing the statistical result with a detection threshold, and checking whether a difference value is greater than the detection threshold; if only one difference value exists, the difference value is defaulted to be a potential PRI value, and sequence retrieval is directly carried out; otherwise, the next step is carried out.
S15, letting c = c +1, obtaining a detection threshold of a c-th level difference value histogram, performing sub-harmonic detection, and taking all values exceeding the detection threshold as potential PRI values; i.e. the purpose of calculating the next-stage difference histogram is achieved by iteration
S16, counting and sequencing the potential PRI values according to the difference values, and carrying out sequence detection on the potential PRI values; comparing the statistical results with a threshold, recording all the statistical results which are greater than the detection threshold, and arranging the statistical results according to the sequence from large to small;
s17, if all potential PRI median values are not successfully searched, repeating the steps S15-S16; if the potential PRI value successfully searched exists, taking the difference value successfully searched as a real PRI value, and extracting a corresponding pulse sequence; sorting and sequence searching are carried out on the raw materials; if none of the search results is successful, repeating the step, otherwise, carrying out the next step; taking the difference value which is successfully subjected to sequence retrieval as a real PRI value, and extracting a corresponding pulse sequence;
and S18, repeating the steps S11 to S17, sorting all the pulse sequences, and finishing signal sorting.
In addition, sequence search is required in both step S14 and step S16, and as shown in fig. 3, the sequence search method includes:
s20, making d =1; u =1; v =0.
S21, starting to search for the initial pulse from the d-th time point; starting from the d-th time point, searching for a starting pulse; for the first search, the S20 assignment is used, i.e. d =1.
S22, searching whether a pulse exists in a step distance or not by taking the initial pulse as a starting point and the potential PRI estimated value as a step length;
s23, if yes, accumulating the searched successfully accumulated pulse parameter u once, namely enabling the searched successfully accumulated pulse parameter u = u +1, simultaneously recording the current pulse, obtaining the pulse time q of the current pulse and enabling d = q, and skipping to the step S21;
if not, accumulating the once searching unsuccessful accumulation parameter v, namely enabling the searching unsuccessful accumulation parameter v = v + 1;
s24, judging whether u is larger than a set threshold (obtained according to empirical data or experimental data), if so, searching for interruption, fitting the recorded pulse to obtain an accurate PRI value, and carrying out S26; if not, continuing to step S23 to search for the next pulse;
s25, judging whether v is larger than a set threshold value (obtained according to empirical data or experimental data), and if not, continuing to perform the step S23; if yes, skipping the initial pulse position of the current signal, searching the initial pulse again, and performing step S22;
s26, judging whether the signal tail end is reached or not, and if not, repeating the step S24; if yes, the recorded pulse signal is extracted from the original signal, and the sequence search is completed.
Thirdly, signal parameters corresponding to the sorting signals are obtained through short-time Fourier transform calculation;
fourthly, inputting the signal parameters into an interference signal judgment model and outputting an orthogonal interference signal waveform database; the interference signal judgment model is a trained neural network model, and an orthogonal interference signal waveform database corresponding to the interference signal is obtained by inputting signal parameters; after the neural network model is learned, the input and output of the detection samples can be input, and then correct output data (namely an orthogonal interference signal waveform database corresponding to signal parameters) can be obtained, so that the training of the neural network model is completed.
In practical use, the signal parameters can be input into the neural network model, and an orthogonal interference signal waveform database matched with the threshold value is obtained.
Fifthly, generating a pseudo random address code, wherein the method for generating the pseudo random address code comprises the following steps:
determining a pseudo-random sequence generation function:
wherein
In the form of a pseudo-random sequence,
in order to achieve a damping ratio,
for the length of the database of orthogonal interference signal waveforms,
is as follows
One of the symbols is a symbol that is,
as a matter of time, the time is,
for the period in which the pseudo-random sequence is generated,
for the duration of the symbol, the symbol width,
a binarized pseudorandom sequence of 1 and-1,
；
，
is the clock frequency at which the pseudo-random sequence is generated;
obtaining a pseudorandom address code of
And determining the period of the interference signal
Wherein, L is a pseudo-random sequence obtained by a pseudo-random sequence generating function, L is a pseudo-random address code, and d is the shift register series of the sequence generator.
Sixthly, reading out sampling data in an orthogonal interference signal waveform database through a pseudo-random address code; in order to obtain the largest possible instantaneous bandwidth of the interference signal, the sampled data in the orthogonal interference signal waveform database are: I. q two paths of orthogonal zero intermediate frequency sampling data:
，
，
wherein
For the nth sample data of the I-path interference signal,
the nth sampling data of the Q-path interference signal is obtained, N is a sampling point, N is a total sampling data point, and A is a signal amplitude;
is a sampling period of the orthogonal interference signal,
is phase transformation;
seventhly, generating interference signals according to the sampling data; the interference signal obtaining method comprises a single carrier interference signal and a frequency sweep interference signal.
S31、Single carrier interference is the most basic interference type, and frequency control words of single carrier interference signals are obtained
Wherein
For the frequencies of the single-carrier interference signal,
the bit length of the first-order accumulator can be 32 bits in this embodiment; and the sine and cosine values are obtained by looking up a table through the phase output by a Numerically Controlled Oscillator (NCO).
S32, determining the sampling frequency of the orthogonal interference signal
；
S33, frequency control word
And
inputting the signal into a digital control oscillator to obtain a single carrier interference signal:
；
s34, obtaining frequency control words of frequency sweep interference signals
Wherein, in the process,
in order to provide for the rate of frequency sweep,
for the frequency resolution during the frequency sweep,
the bit length of the second-order accumulator may be 16 bits in this embodiment;
s35, frequency control word
、
And
inputting the frequency sweep interference signal into a digital control oscillator to obtain a frequency sweep interference signal:
(ii) a The NCO of the frequency sweep interference is composed of two stages of accumulators. Second order frequency control word corresponding to sweep rate
(Differenceial and first order frequency control word)
。
And S36, synthesizing the single carrier interference signal and the sweep frequency interference signal to obtain an interference signal.
And eighthly, determining interference delay and transmitting the delayed interference signal. Because the system needs a certain processing time for storing and forwarding the signal, the signal stored in the current pulse period is delayed by one or more pulse periods and then forwarded out and forms an interference echo. The high speed of signal capture and storage, the diversity of interference technology and the flexibility of control are realized by carrying out high-speed sampling, storage, conversion processing and reconstruction on the received radio frequency signals.
The method for obtaining the interference delay comprises the following steps:
predetermining random time delay
Setting a forwarding delay step size
The number of delay times M and the number of forwarding delay times M; obtained through empirical data or experimental data.
Obtaining a delayed interference signal
。
Example two
A radio interference signal generating device comprises a receiving module, a sorting module, a parameter obtaining module, an identification module, a random code module, a reading module, a signal generating module, a delay price-adjusting module and a transmitting module.
The receiving module is used for intercepting the radio signals and screening pulse signals in the radio signals, and is a pulse signal receiving device.
The sorting module is used for carrying out signal sorting on the pulse signals to obtain sorting signals;
the transmitting module is used for transmitting the interference signal after delaying, is a pulse signal transmitting device, can be the same device as the receiving module, and is connected with the sorting device, the delay adding module and the like through the circulator.
The remaining modules in this embodiment may be a plurality of independent modules, or may be a plurality of processing programs in one processor.
The parameter acquisition module is used for acquiring signal parameters corresponding to the sorting signals through short-time Fourier transform calculation;
the identification module is used for inputting the signal parameters into the interference signal judgment model and outputting an orthogonal interference signal waveform database; the interference signal judgment model is a trained neural network model, and an orthogonal interference signal waveform database corresponding to the interference signal is obtained by inputting signal parameters;
the random code module is used for generating a pseudo-random address code;
the reading module is used for reading out sampling data in the orthogonal interference signal waveform database through the pseudorandom address code;
the signal generating module is used for generating an interference signal according to the sampling data;
the delay adding module is used for determining interference delay and obtaining a delayed interference signal;
the sorting module comprises an acquisition module, a function module, a first judgment module, a second judgment module, a third judgment module, a sequence retrieval module, a fourth judgment module and a zone module
An acquisition module for acquiring a plurality of signal pulses to be processed;
a function module for obtaining a detection threshold calculation function,
wherein E is the total number of peaks, C is the total number of bins of the histogram, C is the number of differential levels, a, b are constant coefficients,
the time of the current narrow pulse is shown, and e is a natural constant;
the first judgment module is used for setting the difference level number c =0, calculating a detection threshold, obtaining a c-th level difference histogram, performing sub-harmonic detection, and taking all values exceeding the detection threshold as potential PRI values;
the second judgment module is used for counting and sequencing the potential PRI values according to the difference value, determining the number, defaulting to be the potential PRI value if the number is one, and performing sequence retrieval; if the number is more than one, inputting the data to a third judgment module;
the third judgment module is used for enabling c = c +1, obtaining a detection threshold of a c-th level difference value histogram, carrying out sub-harmonic detection, and taking all values exceeding the detection threshold as potential PRI values;
the sequence retrieval module is used for counting and sequencing the potential PRI values according to the difference values and carrying out sequence detection on the potential PRI values;
the fourth judgment module is used for inputting all potential PRI median values into the third judgment module if the retrieval is not successful; if the potential PRI value successfully searched exists, taking the difference value successfully searched as a real PRI value, and extracting a corresponding pulse sequence;
the iteration module is used for returning to the acquisition module and sorting out all pulse sequences to finish signal sorting;
the sequence retrieval module comprises: the device comprises an assignment module, a first search module, a second search module, a fifth judgment module, a sixth judgment module, a seventh judgment module and an eighth judgment module.
An assignment module to have d =1; u =1; v =0;
the first searching module is used for searching the starting pulse from the d-th time point;
the second searching module is used for searching whether a pulse exists in a step distance by taking the initial pulse as a starting point and the potential PRI estimated value as a step length;
the fifth judging module is used for finishing the judgment of the second searching module; if yes, enabling the search to be successful and accumulating the pulse parameter u = u +1, simultaneously recording the current pulse, obtaining the pulse time q of the current pulse, simultaneously enabling d = q, and inputting the pulse time q to the first search module;
if not, making the searching unsuccessful accumulation parameter v = v + 1;
the sixth judging module is used for judging whether u is larger than a set threshold value, if so, the recorded pulse is fitted to obtain an accurate PRI value and the PRI value is input to the seventh judging module; if not, inputting the data to a fifth judgment module;
the seventh judging module is used for judging whether v is larger than a set threshold value, and if not, the v is input to the fifth judging module; if yes, skipping the initial pulse position of the current signal, searching the initial pulse again, and inputting to the second searching module
The eighth judging module is used for judging whether the signal tail end is reached or not, and if not, inputting the signal to the sixth judging module; if yes, the recorded pulse signal is extracted from the original signal, and the sequence search is completed.
The random code module includes: the device comprises a function determining module and a random code generating module.
A function determination module to determine a pseudo-random sequence generation function:
wherein
In the form of a pseudo-random sequence,
in order to achieve the damping ratio,
for the length of the database of orthogonal interference signal waveforms,
is as follows
One of the symbols is selected from the group consisting of,
as a matter of time, the time is,
for the period when the pseudo-random sequence is generated,
for the duration of the symbol, the symbol width,
a binarized pseudorandom sequence of 1 and-1,
；
，
is the clock frequency at which the pseudo-random sequence is generated;
a random code generation module for obtaining a pseudo-random address code of
And determining the period of the interference signal
Wherein L is a pseudo-random sequence obtained by a pseudo-random sequence generating function, L is a pseudo-random address code, and d is the shift register stage number of the sequence generator.
The sampling data in the orthogonal interference signal waveform database is as follows: I. q two paths of orthogonal zero intermediate frequency sampling data:
，
，
wherein
For the nth sample data of the I-path interference signal,
the nth sampling data of the Q-path interference signals are obtained, N is a sampling point, N is a total sampling data point, and A is a signal amplitude;
in order to be a sampling period of the orthogonal interference signal,
is phase transformation;
the signal generation module includes: the device comprises a first frequency control word acquisition module, a sampling frequency calculation module, a single carrier interference signal acquisition module, a second frequency control word acquisition module, a sweep frequency interference signal acquisition module and an interference signal acquisition module.
A first obtaining module of frequency control words for obtaining single carrier interference signalsFrequency control word of
Wherein
For the frequencies of the single-carrier interference signal,
for the frequency resolution during the frequency sweep,
is the bit length of the first order accumulator;
a sampling frequency calculation module for determining a quadrature interference signal sampling frequency
；
Single carrier interference signal acquisition module for converting frequency control words
And
inputting the signal into a digital control oscillator to obtain a single carrier interference signal:
；
a second acquisition module for acquiring frequency control word of the sweep-frequency interference signal
Wherein, in the step (A),
in order to provide for the rate of frequency sweep,
being bits of a second-order accumulatorLength;
a swept-frequency interference signal acquisition module for converting a frequency control word
、
And
inputting the frequency sweep interference signal into a digital control oscillator to obtain a frequency sweep interference signal:
；
and the interference signal acquisition module is used for synthesizing the single carrier interference signal and the sweep frequency interference signal to obtain an interference signal.
The delay adding module comprises: the device comprises a predetermined module and a delayed signal acquisition module.
A predetermined module for predetermined random time delay
Setting a forwarding delay step size
The number of delay times M and the number of forwarding delay times M;
a delayed signal acquisition module for obtaining a delayed interference signal
。
EXAMPLE III
A radio interference signal generating terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of a radio interference signal generating method as described above when executing the computer program.
The memory may be used to store software programs and modules, and the processor may execute various functional applications of the terminal and data processing by operating the software programs and modules stored in the memory. The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an execution program required for at least one function, and the like.
The storage data area may store data created according to the use of the terminal, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
A computer-readable storage medium, in which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of a radio interference signal generation method as described above.
Without loss of generality, computer readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instruction data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that computer storage media is not limited to the foregoing. The system memory and mass storage devices described above may be collectively referred to as memory.
In the description of the present specification, reference to the description of "one embodiment/mode", "some embodiments/modes", "example", "specific example", or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment/mode or example is included in at least one embodiment/mode or example of the present application. In this specification, the schematic representations of the terms used above are not necessarily intended to be the same embodiment/mode or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments/modes or examples. Furthermore, the various embodiments/aspects or examples and features of the various embodiments/aspects or examples described in this specification can be combined and combined by one skilled in the art without conflicting therewith.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specified otherwise.
It will be understood by those skilled in the art that the foregoing embodiments are merely for clarity of description and are not intended to limit the scope of the invention. It will be apparent to those skilled in the art that other variations or modifications may be made on the above invention and still be within the scope of the invention.
Claims (10)
1. A method for generating a radio interference signal, comprising:
intercepting a radio signal, screening pulse signals in the radio signal, and carrying out signal sorting on the pulse signals to obtain sorting signals;
obtaining signal parameters corresponding to the sorting signals through short-time Fourier transform calculation;
inputting the signal parameters into an interference signal judgment model, and outputting an orthogonal interference signal waveform database;
generating a pseudo-random address code, and reading out sampling data in an orthogonal interference signal waveform database through the pseudo-random address code;
generating an interference signal according to the sampling data;
an interference delay is determined and a delayed interference signal is transmitted.
2. The method of claim 1, wherein the signal sorting comprises:
s11, acquiring a plurality of signal pulses to be processed;
s12, obtaining a detection threshold calculation function,
wherein E is the total number of peaks, C is the total number of bins of the histogram, C is the number of differential levels, a, b are constant coefficients,
the time of the current narrow pulse is shown, and e is a natural constant;
s13, setting the difference level number c =0, calculating a detection threshold, obtaining a c-th level difference histogram, performing sub-harmonic detection, and taking all values exceeding the detection threshold as potential PRI values;
s14, counting and sequencing the potential PRI values according to the difference value, determining the number, defaulting to be the potential PRI value if the number is one, and performing sequence retrieval; if the number is greater than one, performing step S15;
s15, letting c = c +1, obtaining a detection threshold of a c-th level difference value histogram, performing sub-harmonic detection, and taking all values exceeding the detection threshold as potential PRI values;
s16, counting and sequencing the potential PRI values according to the difference values, and carrying out sequence detection on the potential PRI values;
s17, if all potential PRI median values are not successfully searched, repeating the steps S15-S16; if the potential PRI value successfully searched exists, taking the difference value successfully searched as a real PRI value, and extracting a corresponding pulse sequence;
and S18, repeating the steps S11-S17, sorting all the pulse sequences, and finishing signal sorting.
3. The method as claimed in claim 2, wherein the sequence retrieval method comprises:
s20, let d =1; u =1; v =0;
s21, starting to search for the initial pulse from the d-th time point;
s22, searching whether a pulse exists in a step distance or not by taking the initial pulse as a starting point and the potential PRI estimated value as a step length;
s23, if yes, enabling the search to be successful and accumulating the pulse parameter u = u +1, simultaneously recording the current pulse, obtaining the pulse time q of the current pulse, simultaneously enabling d = q, and skipping to the step S21;
if not, making the searching unsuccessful accumulation parameter v = v +1;
s24, judging whether u is larger than a set threshold value, if so, fitting the recorded pulse to obtain an accurate PRI value, and S26; if not, continuing to step S23;
s25, judging whether v is larger than a set threshold value, if not, continuing to perform the step S23; if yes, skipping the initial pulse position of the current signal, searching the initial pulse again, and performing step S22;
s26, judging whether the signal tail end is reached or not, and if not, repeating the step S24; if yes, the recorded pulse signal is extracted from the original signal, and the sequence search is completed.
4. The method as claimed in claim 2, wherein the interference signal determination model is a trained neural network model, and the orthogonal interference signal waveform database corresponding to the interference signal is obtained by inputting signal parameters;
the method for generating the pseudo random address code comprises the following steps:
determining a pseudo-random sequence generation function:
wherein
In order to be a pseudo-random sequence,
in order to achieve a damping ratio,
for the length of the database of orthogonal interference signal waveforms,
is as follows
One of the symbols is a symbol that is,
as a matter of time, the time is,
for the period when the pseudo-random sequence is generated,
for the duration of the symbol, the symbol width,
a binarized pseudorandom sequence of 1 and-1,
；
，
clock frequency when pseudo-random sequence is generated;
obtaining a pseudorandom address code of
And determining the period of the interference signal
Wherein L is by a pseudorandom sequenceAnd generating a pseudorandom sequence obtained by the function, wherein l is a pseudorandom address code, and d is the number of stages of a shift register of the sequence generator.
5. The method as claimed in claim 4, wherein the sampling data in the orthogonal interference signal waveform database is: I. q two paths of orthogonal zero intermediate frequency sampling data:
，
，
wherein
For the nth sample data of the I-path interference signal,
the nth sampling data of the Q-path interference signal is obtained, N is a sampling point, N is a total sampling data point, and A is a signal amplitude;
in order to be a sampling period of the orthogonal interference signal,
is phase transformation;
the interference signal obtaining method comprises the following steps:
frequency control word for obtaining single carrier interference signal
Wherein
For the frequencies of the single-carrier interfering signal,
is the bit length of the first order accumulator;
determining quadrature interference signal sampling frequency
；
Frequency control word
And
inputting the signal into a digital control oscillator to obtain a single carrier interference signal:
；
frequency control word for obtaining sweep frequency interference signal
Wherein, in the process,
in order to provide for a sweep rate,
for the frequency resolution during the frequency sweep,
is the bit length of the second order accumulator;
frequency control word
、
And
inputting the frequency sweep interference signal into a digital control oscillator to obtain a frequency sweep interference signal:
；
and synthesizing the single carrier interference signal and the sweep frequency interference signal to obtain an interference signal.
6. The method of claim 5, wherein the interference delay is obtained by:
predetermining random time delay
Setting a forwarding delay step size
The number M of delay times and the number M of forwarding delay times;
obtaining a delayed interference signal
。
7. A radio interference signal generating apparatus, comprising:
the receiving module is used for intercepting the radio signals and screening pulse signals in the radio signals;
the sorting module is used for carrying out signal sorting on the pulse signals to obtain sorting signals;
the parameter acquisition module is used for acquiring signal parameters corresponding to the sorting signals through short-time Fourier transform calculation;
the identification module is used for inputting the signal parameters into the interference signal judgment model and outputting an orthogonal interference signal waveform database; the interference signal judgment model is a trained neural network model, and an orthogonal interference signal waveform database corresponding to the interference signal is obtained by inputting signal parameters;
a random code module for generating a pseudo-random address code;
the reading module is used for reading out sampling data in the orthogonal interference signal waveform database through the pseudorandom address code;
a signal generating module for generating an interference signal according to the sampling data;
a delay adding module, configured to determine an interference delay and obtain a delayed interference signal;
and the transmitting module is used for transmitting the interference signal after delaying the interference signal.
8. The apparatus of claim 7, wherein the sorting module comprises:
an acquisition module for acquiring a plurality of signal pulses to be processed;
a function module for obtaining a detection threshold calculation function,
wherein E is the total number of peaks, C is the total number of lattices in the histogram, C is the number of difference stages, a and b are constant coefficients,
the time of the current narrow pulse is shown, and e is a natural constant;
the first judgment module is used for setting the difference level number c =0, calculating a detection threshold, obtaining a c-th level difference histogram, performing sub-harmonic detection, and taking all values exceeding the detection threshold as potential PRI values;
the second judgment module is used for counting and sequencing the potential PRI values according to the difference value, determining the number, defaulting to be the potential PRI value if the number is one, and performing sequence retrieval; if the number is more than one, inputting the data to a third judgment module;
the third judgment module is used for enabling c = c +1, obtaining a detection threshold of a c-th level difference value histogram, carrying out sub-harmonic detection, and taking all values exceeding the detection threshold as potential PRI values;
the sequence retrieval module is used for counting and sequencing the potential PRI values according to the difference values and carrying out sequence detection on the potential PRI values;
the fourth judgment module is used for inputting all potential PRI median values into the third judgment module if the retrieval is not successful; if the potential PRI value successfully searched exists, taking the difference value successfully searched as a real PRI value, and extracting a corresponding pulse sequence;
the iteration module is used for returning to the acquisition module and sorting out all pulse sequences to finish signal sorting;
the sequence retrieval module comprises:
an assignment module to assign d =1; u =1; v =0;
the first searching module is used for searching the starting pulse from the d-th time point;
the second searching module is used for searching whether a pulse exists in a step distance by taking the initial pulse as a starting point and the potential PRI estimated value as a step length;
the fifth judging module is used for finishing the judgment of the second searching module; if yes, enabling the search to be successful and accumulating the pulse parameter u = u +1, simultaneously recording the current pulse, obtaining the pulse time q of the current pulse, simultaneously enabling d = q, and inputting the pulse time q to the first search module;
if not, making the searching unsuccessful accumulation parameter v = v +1;
the sixth judging module is used for judging whether u is larger than a set threshold value, if so, the recorded pulse is fitted to obtain an accurate PRI value and the PRI value is input to the seventh judging module; if not, inputting the data to a fifth judgment module;
the seventh judging module is used for judging whether v is larger than a set threshold value or not, and if not, the v is input to the fifth judging module; if yes, skipping the initial pulse position of the current signal, searching the initial pulse again, and inputting to the second searching module
The eighth judging module is used for judging whether the signal tail end is reached or not, and if the signal tail end is not reached, the signal tail end is input to the sixth judging module; if yes, the recorded pulse signal is extracted from the original signal, and the sequence search is completed.
9. The apparatus of claim 8, wherein the random code module comprises:
a function determination module to determine a pseudo-random sequence generation function:
wherein
In order to be a pseudo-random sequence,
in order to achieve a damping ratio,
for the length of the database of orthogonal interference signal waveforms,
is as follows
One of the symbols is a symbol that is,
as a matter of time, the time is,
for the period in which the pseudo-random sequence is generated,
for the duration of the symbol, the symbol width,
a binarized pseudorandom sequence of 1 and-1,
；
，
is the clock frequency at which the pseudo-random sequence is generated;
a random code generation module for obtaining a pseudo-random address code of
And determining the period of the interference signal
Wherein L is a pseudo-random sequence obtained by a pseudo-random sequence generating function, L is a pseudo-random address code, and d is the shift register stage number of the sequence generator.
10. The apparatus of claim 9, wherein the sampled data in the orthogonal interference signal waveform database is: I. q two paths of orthogonal zero intermediate frequency sampling data:
，
，
wherein
For the nth sample data of the I-path interference signal,
the nth sampling data of the Q-path interference signal is obtained, N is a sampling point, N is a total sampling data point, and A is a signal amplitude;
in order to be a sampling period of the orthogonal interference signal,
is phase transformation;
the signal generation module includes:
a first obtaining module of frequency control words for obtaining the frequency control words of the single carrier interference signal
Wherein
For the frequencies of the single-carrier interference signal,
is the bit length of the first order accumulator;
a sampling frequency calculation module for determining the sampling frequency of the orthogonal interference signal
；
Single carrier interference signal acquisition module for converting frequency control words
And
is input into a digital control oscillator and then is output to a digital control oscillator,obtaining a single carrier interference signal:
；
a second acquisition module for acquiring frequency control word of the sweep frequency interference signal
Wherein, in the step (A),
in order to provide for the rate of frequency sweep,
for the frequency resolution during the frequency sweep,
is the bit length of the second order accumulator;
a swept-frequency interference signal acquisition module for converting a frequency control word
、
And
inputting the frequency sweep interference signal into a digital control oscillator to obtain a frequency sweep interference signal:
；
the interference signal acquisition module is used for synthesizing a single carrier interference signal and a sweep frequency interference signal to obtain an interference signal;
the delay adding module comprises:
a predetermined module for predetermined random time delay
Setting a forwarding delay step size
The number of delay times M and the number of forwarding delay times M;
a delayed signal acquisition module for obtaining a delayed interference signal
。
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