基于观测矩阵优化的自适应压缩频谱感知

doi:10.3969/j.issn.1000-436x.2014.08.005

Abstract

Abstract:

The estimation error of reconstruction by adaptive compressed sensing was derived, and the column vector autocorrelation of the observation matrix was reduced, and the impact of optimization process on compressed sensing re-construction algorithm was analyzed. Combining the observation matrix optimization and adaptive process, the spectrum sensing algorithm of optimized adaptive compression based on observation matrix was proposed. The simulation results show that the mean square error (MSE) of proposed algorithm is lower than traditional algorithm, and the probability of detection of proposed algorithm is higher on the same number of observations, and the required number of observations is fewer when achieving the same receiver operating performance (ROC).

Key words: cognitive radio, compressed sensing, spectrum detection, measurement matrix

Wei-gang WANG,Zhen YANG,Bin GU,Hai-feng HU. Adaptive compressed spectrum sensing based on optimized measurement matrix[J]. Journal on Communications, 2014, 35(8): 33-39.

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References 13

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观测次数	门限估计值	实际计算值
50	0.467	0.369
55	0.258	0.216
60	0.154	0.136
65	0.139	0.131
70	0.132	0.127
75	0.120	0.119
80	0.109	0.107
85	0.099	0.091

Adaptive compressed spectrum sensing based on optimized measurement matrix

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