基于特征值极限分布的合作频谱感知算法

doi:10.11959/j.issn.1000-436x.2015010

Abstract

Abstract:

A novel maximum-minimum eigenvalue (NMME) cooperative spectrum sensing algorithm and threshold decision rule are proposed via analyzing minimum eigenvalue limiting distribution of the covariance matrix of the received signals from multiple cognitive users (CU) by means of latest random matrix theory (RMT).The proposed scheme could not need the prior knowledge of the signal transmitted from primary user (PU) and could effectively overcome the noise uncertainty.At a given probability of false alarm (P_fa),simulation results show that the proposed scheme can get lower decision threshold and higher probability of detection (P_d) compared with the original algorithm,and it can also get better detection performance with fewer CU and smaller sample numbers.

Key words: cognitive radio, spectrum sensing, random matrix theory, sample covariance matrix, limiting eigenvalue dis-tribution

Yin MI,Guang-yue LU. Cooperative spectrum sensing algorithm based on limiting eigenvalue distribution[J]. Journal on Communications, 2015, 36(1): 84-89.

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F₁(t)	t
0.01	?3.90
0.05	?3.18
0.10	?2.78
0.30	?1.91
0.50	?1.27
0.70	?0.59
0.90	0.45
0.95	0.98
0.99	2.02

Cooperative spectrum sensing algorithm based on limiting eigenvalue distribution

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