Radio Identification of Primary Users Based on Cooperative Compressed Sensing

Authors

1 Faculty of Electrical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran

2 Digital Communications Signal Processing (DCSP) Research Lab., Shahid Rajaee Teacher Training University, Tehran, Iran

Abstract

The main objective of this paper is to jointly estimate three parameters, power, frequency and location of primary users in cognitive radio communications based on cooperative compressed sensing. First, in addition to representing the fundamentals of compressive sensing and system model, three sub-Nyquist reconstruction methods (OMP, CoSaMP and IHT) are described which are based on compressive sensing. Using integrated and separate reconstructions on final decision-making, it is shown that OMP offers higher performance with respect to two other ones in noisy channels. Moreover, a new method for separate reconstruction is proposed which is based on majority decision manner. The new method shows higher performance for estimating three above-mentioned parameters compared to separate method with averaging and integrated one for noisy channels with shadowing. Furthermore, it is shown that it needs lower computational complexity compared to integrated decision-making and approximately the same complexity with respect to separate decision-making with averaging.

Keywords

TABRIZ JOURNAL OF ELECTRICAL ENGINEERING
Volume 47, Issue 4 - Serial Number 82
February 2017
Pages 1551-1561

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