[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Bhatti et al., 2012 - Google Patents

Spectrum sensing using principal component analysis

Bhatti et al., 2012

View PDF
Document ID
11306141452768560660
Author
Bhatti F
Rowe G
Sowerby K
Publication year
Publication venue
2012 IEEE Wireless Communications and Networking Conference (WCNC)

External Links

Snippet

In the recent past considerable research has been performed on blind signal detection techniques that exploit the covariance matrix of the signals received at a cognitive radio (CR). These techniques overcome the noise uncertainty problem of the energy detection …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0837—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details 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
    • H04B1/06—Receivers
    • H04B1/10—Means associated with receiver for limiting or suppressing noise or interference induced by transmission
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; Arrangements for supplying electrical power along data transmission lines
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks ; Receiver end arrangements for processing baseband signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details 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
    • H04B1/69—Spread spectrum techniques
    • H04B1/707—Spread spectrum techniques using direct sequence modulation
    • H04B1/7097—Interference-related aspects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/001—Modulated-carrier systems using chaotic signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/0006—Assessment of spectral gaps suitable for allocating digitally modulated signals, e.g. for carrier allocation in cognitive radio
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L23/00—Apparatus or local circuits for systems other than those covered by groups H04L15/00 - H04L21/00
    • H04L23/02—Apparatus 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
Zeng et al. Maximum eigenvalue detection: Theory and application
US9379924B2 (en) Cognitive radio spectrum sensing with improved edge detection of frequency bands
Hong et al. DOF: A local wireless information plane
Charan et al. Eigenvalue based double threshold spectrum sensing under noise uncertainty for cognitive radio
Nafkha et al. Experimental spectrum sensing measurements using USRP Software Radio platform and GNU-radio
Bhatti et al. Spectrum sensing using principal component analysis
EP4113174A1 (en) Estimation device, estimation method, and program
Sala-Alvarez et al. Multiantenna GLR detection of rank-one signals with known power spectrum in white noise with unknown spatial correlation
Anaand et al. Two stage spectrum sensing for cognitive radio networks using ED and AIC under noise uncertainty
Zhang et al. Multiband joint spectrum sensing via covariance matrix-aware convolutional neural network
Bogale et al. Linearly combined signal energy based spectrum sensing algorithm for cognitive radio networks with noise variance uncertainty
Wang et al. A multitaper spectrum based detector for cognitive radio
El Bahi et al. Real-time spectrum sensing of multiple OFDM signals using low cost sdr based prototype for cognitive radio
Mathew et al. A cyclic prefix assisted spectrum sensing method for aeronautical communication systems
Qing et al. Robust spectrum sensing for blind multiband detection in cognitive radio systems: a Gerschgorin likelihood approach
Bhatti et al. Spectrum sensing using feature vectors
Bruno et al. An edge detection approach to wideband temporal spectrum sensing
Huang et al. On cyclic autocorrelation based spectrum sensing for cognitive radio systems in Gaussian noise
Khalaf An optimal sinsing algorithm for multiband cognitive radio network
Sure On the performance of Grassmann-covariance-matrix-based spectrum sensing for cognitive radio
Mohan et al. Advanced spectrum sensing techniques
Lavanya et al. Implementation of an adaptive spectrum sensing technique in cognitive radio networks
Ivrigh et al. Spectrum sensing for cognitive radio networks based on blind source separation
Moghaddam et al. A comparative study on the two popular cognitive radio spectrum sensing methods: Matched filter versus energy detector
De Novel algorithms for blind sensing of signals with variable bandwidths in cognitive radio