Wideband Compressed Blind Sensing without Reconstruction Based on Expectation Deviation and Generalized Likelihood RatioTest

doi:10.3969/j.issn.1000-1093.2016.10.010

Abstract

Abstract: A scheme of cooperative wideband compressed blind sensing without reconstruction based on expectation deviation （ExD）and generalized likelihood ratio test (GLRT) , called ExD-GLRT， is proposed to overcome the disadvantages of the traditional wideband spectrum sensing algorithms. The test statistic is extracted from the numerical characteristics of the compressed samples for local mixed spectrum sensing. The cognitive base station (CBS) categorizes the local detection results into two groups and makes a credibility fusion of soft detection results based on GLRT without reconstruction. A global decision is made in CBS. Theoretical analysis and simulated results show that the proposed method is a blinding sensing method which does not require a priori knowledge of signal or noise variance, and can enhance the spectrum sensing capability with low computational complexity.

Key words: information processing technology, compressed sensing, wideband spectrum sensing, generalized likelihood ratio test, blind sensing

CLC Number:

TN911.72

JIAO Chuan-hai, LI Yong-cheng, XIE Kai, YANG Yun-fu. Wideband Compressed Blind Sensing without Reconstruction Based on Expectation Deviation and Generalized Likelihood RatioTest[J]. Acta Armamentarii, 2016, 37(10): 1837-1843.

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