[go: up one dir, main page]

Arjun et al., 2017 - Google Patents

Performance Analysis of Wavelet based Spectrum Sensing and Conventional Spectrum Sensing in Fading Environment for Cognitive Radios

Arjun et al., 2017

Document ID
4986773259286128797
Author
Arjun K
Surekha T
Publication year
Publication venue
2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC)

External Links

Snippet

This paper discusses about the performance analysis of wavelet based spectrum sensing and conventional spectrum sensing methods in fading environment for cognitive radios. Receiver Operating Characteristics (ROC) which gives the Probability of detection versus …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • 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 induced by transmission
    • H04B1/12Neutralising, balancing, or compensation arrangements
    • 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
    • H04B1/69Spread spectrum techniques
    • H04B1/707Spread spectrum techniques using direct sequence modulation
    • H04B1/7097Interference-related aspects
    • H04B1/71Interference-related aspects the interference being narrowband interference
    • 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 induced by transmission
    • H04B1/1027Means associated with receiver for limiting or suppressing noise or interference induced by transmission assessing signal quality or detecting noise/interference for the received signal
    • H04B1/1036Means associated with receiver for limiting or suppressing noise or interference induced by transmission assessing signal quality or detecting noise/interference for the received signal with automatic suppression of narrow band noise or interference, e.g. by using tuneable notch filters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • H04L27/2647Arrangements specific to the receiver
    • 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
    • H04B1/69Spread spectrum techniques
    • H04B1/713Spread spectrum techniques using frequency hopping
    • H04B1/715Interference-related aspects
    • 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
    • H04B1/69Spread spectrum techniques
    • H04B1/7163Spread spectrum techniques using impulse radio
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/001Modulated-carrier systems using chaotic signals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; Arrangements for supplying electrical power along data transmission lines
    • H04L25/0202Channel estimation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; Arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks ; Receiver end arrangements for processing baseband signals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/02Channels characterised by the type of signal
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B15/00Suppression or limitation of noise or interference
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L23/00Apparatus or local circuits for systems other than those covered by groups H04L15/00 - H04L21/00
    • H04L23/02Apparatus or local circuits for systems other than those covered by groups H04L15/00 - H04L21/00 adapted for orthogonal signalling

Similar Documents

Publication Publication Date Title
Lundén et al. Collaborative cyclostationary spectrum sensing for cognitive radio systems
Young et al. Analysis of DFT-based frequency excision algorithms for direct-sequence spread-spectrum communications
Joshi et al. Adaptive spectrum sensing with noise variance estimation for dynamic cognitive radio systems
Sheikh et al. Cognitive spectrum sensing and detection using polyphase DFT filter banks
Suseela et al. Non-cooperative spectrum sensing techniques in cognitive radio-a survey
Nikonowicz et al. Hybrid detection based on energy and entropy analysis as a novel approach for spectrum sensing
Yu et al. Cognitive radio wideband spectrum sensing using multitap windowing and power detection with threshold adaptation
Rawat et al. Signal processing techniques for spectrum sensing in cognitive radio systems: Challenges and perspectives
Singh et al. Advanced multiresolution wavelet based wideband spectrum sensing technique for cognitive radio
Cheraghi et al. Cluster-based differential energy detection for spectrum sensing in multi-carrier systems
Arjun et al. Performance Analysis of Wavelet based Spectrum Sensing and Conventional Spectrum Sensing in Fading Environment for Cognitive Radios
Mohapatra et al. Performance evaluation of cyclostationary based spectrum sensing in cognitive radio network
Al-Badrawi et al. An EMD-based double threshold detector for spectrum sensing in cognitive radio networks
Angrisani et al. Analysis of different wavelet segmentation methods for frequency-domain energy detection based spectrum sensing
Han et al. A cost efficient and flexible cyclostationary feature detector based on sliding discrete fourier transform for cognitive spectrum sensing
Hosseini et al. Enhanced FCME thresholding for wavelet‐based cognitive UWB over fading channels
Stasionis et al. A new approach for spectrum sensing in wideband
Bektas et al. Energy based spectrum sensing using wavelet transform for fading channels
Kolumbán et al. Generalization of waveform communications: The Fourier analyzer approach
CN113489552A (en) Frequency hopping signal detection method based on time-frequency spectrum matrix local variance
Kobayashi et al. Improved MB cognitive radio spectrum sensing using wavelet spectrum filtering
Hosseini et al. Wavelet Packet-Based Transceiver for Cognitive UWBÉmetteur-récepteurà base de paquet d'ondelette pour les applications cognitives UWB
Mohapatra et al. Cyclo-stationarity based windowing method for spectrum sensing in cognitive radio networks
Shehady et al. Experimental study of spectrum sensing based on energy detection using USRP
Roy et al. Performance evaluation of a wavelet packet-based spectrum estimator for Cognitive Radio applications