Spectrum sensing is a key technology in the cognitive radio network, in order to protect the primary user, the sensing algorithms must have a high detection efficiency and detection accuracy. This paper mainly focuses on the spectrum sensing in MIMO environment. Considering that the non-circular signal is usually used in the communication system, a novel spectrum sensing method is proposed for non-circular signals based on the Locally Most Powerful Invariant Test (LMPIT). The theoretical threshold is derived according to the asymptotic distribution theorem. Finally, the detection performance comparisons with other methods in various channels are simulated respectively. The results show that the proposed method outperforms other algorithms and only need small sample numbers, thus having higher sensing accuracy and efficiency.
贾琼,李兵兵. 基于非圆信号的局部最大功效不变检验频谱感知方法[J]. 电子与信息学报, 2016, 38(6): 1391-1397.
JIA Qiong, LI Bingbing. A Novel Local Most Powerful Invariant Test Spectrum Sensing Method for Non-circular Signals. JEIT, 2016, 38(6): 1391-1397.
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