Adaptive cooperative spectrum sensing method of enhanced covariance residual matrix

The invention relates to a self-adaptive cooperative spectrum sensing method of an enhanced covariance residual matrix. The self-adaptive cooperative spectrum sensing method is mainly completed through the following steps: step 1, a stochastic resonance system parameter optimization method: solving...

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Hauptverfasser: QIU YU, WENG GEQI, JIANG BIN, CAO YUEFEI, TANG XIANGHONG, ZENG RONG, BAO JIANRONG, LIU CHAO
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creator QIU YU
WENG GEQI
JIANG BIN
CAO YUEFEI
TANG XIANGHONG
ZENG RONG
BAO JIANRONG
LIU CHAO
description The invention relates to a self-adaptive cooperative spectrum sensing method of an enhanced covariance residual matrix. The self-adaptive cooperative spectrum sensing method is mainly completed through the following steps: step 1, a stochastic resonance system parameter optimization method: solving an optimal stochastic resonance system parameter by using an artificial fish swarm algorithm introduced in a background technology and a new optimization function; 2, a two-channel feature extraction step of an enhanced signal: enhancing the received signal by using a stochastic resonance system with set parameters, and extracting I and Q paths of signals by using orthogonal demodulation introduced in the background technology, and 3, a multi-user data fusion method: calculating a covariance matrix of the I and Q paths of signals of each SU, according to the method, the covariance residual matrix is constructed through stochastic resonance signal preprocessing and matrix cancellation, noise interference is reduced
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
TRANSMISSION
title Adaptive cooperative spectrum sensing method of enhanced covariance residual matrix
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