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CN112134581B - Method for acquiring local dirty correlation template of UWB receiver - Google Patents

Method for acquiring local dirty correlation template of UWB receiver Download PDF

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CN112134581B
CN112134581B CN202010926297.XA CN202010926297A CN112134581B CN 112134581 B CN112134581 B CN 112134581B CN 202010926297 A CN202010926297 A CN 202010926297A CN 112134581 B CN112134581 B CN 112134581B
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景振海
李宇
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Shanghai Zexin Semiconductor Technology Co.,Ltd.
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/06Receivers
    • H04B1/10Means associated with receiver for limiting or suppressing noise or interference
    • H04B1/1081Reduction of multipath noise
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/06Receivers
    • H04B1/16Circuits
    • H04B1/1638Special circuits to enhance selectivity of receivers not otherwise provided for
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/004Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045Arrangements at the receiver end
    • H04L1/0047Decoding adapted to other signal detection operation
    • H04L1/0048Decoding adapted to other signal detection operation in conjunction with detection of multiuser or interfering signals, e.g. iteration between CDMA or MIMO detector and FEC decoder
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/004Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045Arrangements at the receiver end
    • H04L1/0052Realisations of complexity reduction techniques, e.g. pipelining or use of look-up tables

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Abstract

The invention discloses a method for acquiring a local dirty correlation template of a UWB receiver, which specifically comprises the following steps: s1: on one hand, UWB digital signals after an analog-digital converter ADC are processed by adopting a cross correlator, and on the other hand, convolution processing is simultaneously carried out; s2: then, noise elimination processing is carried out through a frequency domain smoothing module, and then accumulation and dryness elimination are carried out, so that a local dirty correlation template is obtained; s3: and accumulating the local dirty correlation templates obtained in the step S2, and then performing channel multi-path screening on the accumulated local dirty correlation templates to obtain the local dirty correlation templates from the data larger than the set threshold. The method can acquire an accurate local dirty correlation template, can maximally inhibit the noise power in the local dirty correlation template, improve the demodulation performance, effectively reduce the multipath number of the local dirty correlation template, and further reduce the implementation complexity of the receiver.

Description

Method for acquiring local dirty correlation template of UWB receiver
Technical Field
The invention belongs to the technical field of Ultra Wide Band (UWB) communication, and particularly relates to a method for acquiring a local dirty correlation template of a UWB receiver.
Background
UWB, also known as Impulse Radio (IR), communicates by transmitting very short bursts, and thus has a bandwidth on the order of GHz. UWB is suitable for high-speed wireless access scenes in dense multipath places such as indoor places. Thus, a major challenge in ultra-wideband (UWB) communications involves the estimation of complex, private multipath channels. Most UWB receivers employ RAKE receivers, so accurate channel estimation information is required to be provided to the RAKE receiver.
Therefore, it is necessary to develop a method for acquiring a local dirty correlation template of a UWB receiver, where the method of the local dirty correlation template is used to receive UWB signals, and when the local dirty correlation template is acquired, frequency-domain smoothing denoising, time-domain accumulation denoising, and a multipath voting method are used to reduce the number of multipaths of the local dirty correlation template, thereby improving the accuracy of the local dirty correlation template and further improving the UWB demodulation performance, and meanwhile, due to the reduction of the number of multipaths of the local dirty correlation template, the implementation complexity is further reduced; the method can acquire the accurate local dirty correlation template, can maximally inhibit the noise power in the local dirty correlation template, improve the demodulation performance, and effectively reduce the multipath number of the local dirty correlation template and further reduce the implementation complexity of the receiver.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method for acquiring a local dirty correlation template of a UWB receiver, which can acquire an accurate local dirty correlation template, suppress noise power in the local dirty correlation template to the maximum extent, improve demodulation performance, and effectively reduce the number of multipaths of the local dirty correlation template and further reduce the complexity of implementing the receiver.
In order to solve the technical problems, the invention adopts the technical scheme that: the method for acquiring the local dirty correlation template of the UWB receiver specifically comprises the following steps:
s1: on one hand, UWB digital signals processed by an analog-digital converter ADC are processed by a cross correlator, and on the other hand, convolution processing is simultaneously carried out;
s2: then, noise elimination processing is carried out through a frequency domain smoothing module, and then noise elimination is carried out in an accumulated mode to obtain a local dirty correlation template;
s3: and accumulating the local dirty correlation templates obtained in the step S2, and then performing channel multi-path screening on the accumulated local dirty correlation templates to obtain the local dirty correlation templates from the data larger than the set threshold.
As a preferred embodiment of the present invention, the method further includes step S4: and (8) performing SFD detection on the data subjected to the convolution processing in the step (S1), if the SFD is detected, obtaining a local dirty related template, and otherwise, continuously and circularly performing the convolution processing and the SFD detection. Wherein SFD is an abbreviation for start-of-frame delimiter frame start delimiter.
As a preferred embodiment of the present invention, the method further includes step S5: and processing the data which does not pass the set threshold comparison in the channel multipath screening in the step S3 by the method in the step S4, and finally obtaining the local dirty correlation template.
By adopting the technical scheme, the UWB signal is received by adopting the method of the local dirty related template, and the frequency domain smoothing noise elimination, the time domain accumulation noise elimination and the multipath voting method are adopted to reduce the multipath number of the local dirty related template when the local dirty related template is obtained, so that the precision of the local dirty related template is improved, the demodulation performance of the UWB is improved, and meanwhile, the realization complexity is further reduced due to the reduction of the multipath number of the local dirty related template. Wherein the single pulse correlation module: the method is used for single pulse matching correlation filtering out-of-band noise; a leader sequence correlation module: the device is used for carrying out correlation accumulation on the output of the single pulse correlation module to eliminate noise; a frequency domain smoothing module: further eliminating noise in a frequency domain and then accumulating; a multipath screening module: and screening the optimal multipath component and deleting the interference multipath.
As a preferred technical solution of the present invention, the cross correlator in step S1 includes a single-pulse correlation module and a preamble sequence correlation module, wherein the UWB digital signal processed by the ADC is processed by the single-pulse correlation module and then processed by the preamble sequence correlation module, and a formula for calculating a correlation result when the single-pulse correlation module is used for processing is as follows:
Figure GDA0003248884010000021
wherein b (m) is the correlation result; p (n) is a locally generated template pulse; p (n) is a conjugate function of p (n); x (n) is a sampling output signal of the receiving analog-digital converter ADC, which comprises K times of repeated preamble sequence S information; n is the pulse length; n and m are serial numbers of sampling signal output sampling points;
when a leader sequence correlation module is adopted for processing, the local leader sequence is recorded as: s (iL + j), where j is 0., L-1, i is 0., L-1, L is a sequence spreading factor; the calculation formula is as follows:
Figure GDA0003248884010000031
wherein
Figure GDA0003248884010000032
C (i) is a local random 3-element code sequence of length L, deltaL(i)=1,
Figure GDA0003248884010000033
Represents the Kronecker product; and b (iL + j) is a correlation result after being processed by a single-pulse correlation module.
As a preferred technical solution of the present invention, the specific method for performing noise cancellation processing by using the frequency domain smoothing module in step S2 includes:
s21: first convert d (j) to the frequency domain, denoted as: g ═ fft (d);
wherein d ═ d (0),. ·, d (L-1)]T,g=[g(0),...,g(L-1)]TL is a sequence spreading factor;
s22: then, a frequency domain filter is adopted to perform frequency domain denoising on the g to obtain a denoising frequency domain
Figure GDA0003248884010000034
The formula is as follows:
Figure GDA0003248884010000035
wherein W is a frequency domain filter coefficient matrix;
s23: at last handle
Figure GDA0003248884010000036
By inverse Fourier transform into time domain
Figure GDA0003248884010000037
The formula is as follows:
Figure GDA0003248884010000038
wherein
Figure GDA0003248884010000039
L is a sequence spreading factor.
As a preferred technical solution of the present invention, the step S2 further includes a step S24 of accumulating and denoising the signal after the noise cancellation process is performed by the frequency domain smoothing module, where the formula is as follows:
Figure GDA00032488840100000310
wherein K is 0.., K-1; k is the repeated sending times of the local leader sequence S in time;
Figure GDA00032488840100000311
as a preferred technical solution of the present invention, the method for screening channel multipath in step S3 includes:
s31: firstly, establishing a multipath voting pool vk=[vk(0),...,vk(L-1)]T,v-1=[0,...,0]T
S32: then setting a threshold value delta, voting each path according to the following formula,
Figure GDA0003248884010000041
s33: finally, setting a threshold value gamma, and obtaining a local dirty correlation template h according to the following formula rulekThe formula is as follows:
Figure GDA0003248884010000042
the local dirty correlation template is hk=[hk(0),...,hk(L-1)]TAnd initialize h0=[1,0,0,...,0]T
Compared with the prior art, the technical scheme has the beneficial effects that: the UWB signal is received by adopting a local dirty correlation template method, and the frequency domain smoothing noise elimination, the time domain accumulation noise elimination and the multipath voting method are adopted to reduce the multipath number of the local dirty correlation template when the local dirty correlation template is obtained, so that the precision of the local dirty correlation template is improved, the UWB demodulation performance is improved, and meanwhile, the realization complexity is further reduced due to the reduction of the multipath number of the local dirty correlation template.
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The following further detailed description of embodiments of the invention is made with reference to the accompanying drawings:
fig. 1 is a flowchart illustrating a method for acquiring a local dirty correlation template of a UWB receiver according to the present invention.
Detailed Description
Example (b): as shown in fig. 1, the method for acquiring a local dirty correlation template of an UWB receiver specifically includes the following steps:
s1: on one hand, UWB digital signals processed by an analog-digital converter ADC are processed by a cross correlator, and on the other hand, convolution processing is simultaneously carried out;
the cross-correlator in step S1 includes a single-pulse correlation module and a preamble sequence correlation module, wherein the UWB digital signal processed by the ADC is processed by the single-pulse correlation module and then processed by the preamble sequence correlation module, and a formula for calculating a correlation result used when the single-pulse correlation module is used for processing is as follows:
Figure GDA0003248884010000043
wherein b (m) is the correlation result; p (n) is a locally generated template pulse; p (n) is a conjugate function of p (n); x (n) is a sampling output signal of the receiving analog-digital converter ADC, which comprises K times of repeated preamble sequence S information; n is the pulse length; n and m are serial numbers of sampling signal output sampling points;
when a leader sequence correlation module is adopted for processing, the local leader sequence is recorded as: s (iL + j), where j is 0., L-1, i is 0., L-1, L is a sequence spreading factor; the calculation formula is as follows:
Figure GDA0003248884010000051
wherein
Figure GDA0003248884010000052
C (i) is a local random 3-element code sequence of length L, deltaL(i)=1,
Figure GDA0003248884010000053
Represents the Kronecker product; b (iL + j) is a correlation result after being processed by a single-pulse correlation module;
s2: then, noise elimination processing is carried out through a frequency domain smoothing module, and then noise elimination is carried out in an accumulated mode to obtain a local dirty correlation template;
one possible local random 3-ary code sequence when length L is 31 is:
-0000+10-0+ + +0+ -000+ - ++++ 00- + 0-00; wherein-represents-1, + represents 1;
the specific method for performing noise elimination processing by using the frequency domain smoothing module in step S2 is as follows:
s21: first convert d (j) to the frequency domain, denoted as: g ═ fft (d);
wherein d ═ d (0),. ·, d (L-1)]T,g=[g(0),...,g(L-1)]TL is a sequence spreading factor;
s22: then, a frequency domain filter is adopted to perform frequency domain denoising on the g to obtain a denoising frequency domain
Figure GDA0003248884010000054
The formula is as follows:
Figure GDA0003248884010000055
wherein W is a frequency domain filter coefficient matrix;
s23: at last handle
Figure GDA0003248884010000056
By inverse Fourier transform into time domain
Figure GDA0003248884010000057
The formula is as follows:
Figure GDA0003248884010000058
wherein
Figure GDA0003248884010000059
L is a sequence spreading factor;
s24: after the noise elimination processing is carried out by adopting the frequency domain smoothing module, the accumulative noise elimination is carried out, and the formula is as follows:
Figure GDA00032488840100000510
wherein K is 0.., K-1; k is the repeated sending times of the local leader sequence S in time;
Figure GDA00032488840100000511
s3: and accumulating the local dirty correlation templates obtained in the step S2, and then performing channel multi-path screening on the accumulated local dirty correlation templates to obtain the local dirty correlation templates from the data larger than the set threshold.
The method for screening the channel multipath in the step S3 includes:
s31: firstly, establishing a multipath voting pool vk=[vk(0),...,vk(L-1)]T,v-1=[0,...,0]T
S32: then setting a threshold value delta, voting each path according to the following formula,
Figure GDA0003248884010000061
s33: finally, setting a threshold value gamma, and obtaining a local dirty correlation template h according to the following formula rulekThe formula is as follows:
Figure GDA0003248884010000062
local dirty correlation templateIs hk=[hk(0),...,hk(L-1)]TAnd initialize h0=[1,0,0,...,0]T
S4: performing SFD detection on the data subjected to convolution processing in the step S1, if the SFD is detected, obtaining a local dirty related template, and if the SFD is not detected, continuing to circularly perform convolution processing and SFD detection;
s5: and processing the data which does not pass the set threshold comparison in the channel multipath screening in the step S3 by the method in the step S4, and finally obtaining the local dirty correlation template.
While the embodiments of the present invention have been described in detail with reference to the drawings, the present invention is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present invention within the knowledge of those skilled in the art.

Claims (5)

1. A method for acquiring a local dirty correlation template of a UWB receiver is characterized by comprising the following steps:
s1: processing the UWB digital signal processed by the analog-digital converter ADC by adopting a cross correlator;
s2: aiming at the result obtained by processing by adopting a cross correlator in the step S1, performing noise elimination processing by a frequency domain smoothing module and then accumulating and eliminating noise to obtain an alternative local dirty correlation template;
s3: accumulating the alternative local dirty correlation templates obtained in the step S2, performing channel multi-path screening on the accumulated local dirty correlation templates, and obtaining the local dirty correlation templates from the data larger than the set threshold;
further comprising step S4: performing convolution processing on the UWB digital signals processed by the analog-to-digital converter ADC in the step S1 and the data which is obtained by the channel multi-path screening in the step S3 and is larger than a set threshold value, performing frame start delimiter SFD detection on the data after the convolution processing, obtaining a local dirty correlation template if the frame start delimiter SFD is detected, and otherwise, continuing to perform the convolution processing and the frame start delimiter SFD detection in a circulating mode to finally obtain the local dirty correlation template;
further comprising step S5: and (4) performing convolution processing on data which is not compared through a set threshold value in the channel multipath screening in the step (S3) and the UWB digital signal processed by the analog-digital converter (ADC) in the step (S1), detecting the data after the convolution processing by using a frame start delimiter (SFD), obtaining a local dirty correlation template if the frame start delimiter (SFD) is detected, and otherwise, continuously performing the convolution processing and the frame start delimiter (SFD) detection in a circulating mode to finally obtain the local dirty correlation template.
2. The method according to claim 1, wherein the cross-correlator in step S1 includes a single-pulse correlation module and a preamble correlation module, wherein the UWB digital signal processed by the ADC is processed by the single-pulse correlation module and then processed by the preamble correlation module, and the formula for calculating the correlation result when processed by the single-pulse correlation module is as follows:
Figure FDA0003275521300000011
wherein b (m) is the correlation result; p (n) is a locally generated template pulse; p (n) is a conjugate function of p (n); x (n) is a sampling output signal of the receiving analog-digital converter ADC, which comprises K times of repeated preamble sequence S information; n is the pulse length; n and m are serial numbers of sampling signal output sampling points;
when a leader sequence correlation module is adopted for processing, the local leader sequence is recorded as: s (iL + j), where j is 0., L-1, i is 0., L-1, L is a sequence spreading factor; the calculation formula is as follows:
Figure FDA0003275521300000021
wherein
Figure FDA0003275521300000022
C (i) is a local random 3-element code sequence of length L, deltaL(i)=1,
Figure FDA0003275521300000023
Represents the Kronecker product; and b (iL + j) is a correlation result after being processed by a single-pulse correlation module.
3. The method for acquiring the local dirty correlation template of the UWB receiver according to claim 2, wherein the step S2 of performing the noise elimination processing by using the frequency domain smoothing module specifically comprises:
s21: first convert d (j) to the frequency domain, denoted as: g ═ fft (d);
wherein d ═ d (0),. ·, d (L-1)]T,g=[g(0),...,g(L-1)]TL is a sequence spreading factor;
s22: then, a frequency domain filter is adopted to perform frequency domain denoising on the g to obtain a denoising frequency domain
Figure FDA0003275521300000024
The formula is as follows:
Figure FDA0003275521300000025
wherein W is a frequency domain filter coefficient matrix;
s23: at last handle
Figure FDA0003275521300000026
By inverse Fourier transform into time domain
Figure FDA0003275521300000027
The formula is as follows:
Figure FDA0003275521300000028
wherein
Figure FDA0003275521300000029
L is a sequenceA spreading factor.
4. The method for obtaining the local dirty correlation template of the UWB receiver according to claim 3, wherein the step S2 further comprises a step S24 of accumulating and de-noising the signal after the noise removal processing by the frequency domain smoothing module, wherein the formula is as follows:
Figure FDA00032755213000000210
wherein K is 0.., K-1; k is the repeated sending times of the local leader sequence S in time;
Figure FDA00032755213000000211
5. the method for obtaining the local dirty correlation template of the UWB receiver according to claim 3, wherein the method for channel multipath screening in step S3 comprises:
s31: firstly, establishing a multipath voting pool vk=[vk(0),...,vk(L-1)]T,v-1=[0,...,0]T
S32: then setting a threshold value delta, voting each path according to the following formula,
Figure FDA0003275521300000031
s33: finally, setting a threshold value gamma, and obtaining a local dirty correlation template h according to the following formula rulekThe formula is as follows:
Figure FDA0003275521300000032
the local dirty correlation template is hk=[hk(0),...,hk(L-1)]TAnd initialize h0=[1,0,0,...,0]T
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