Low Complexity Statistic Computation for Energy Detection Based Spectrum Sensing with Multiple Antennas

Shusuke NARIEDA  Hiroshi NARUSE  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E103-A   No.8   pp.969-977
Publication Date: 2020/08/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.2019EAP1115
Type of Manuscript: PAPER
Category: Communication Theory and Signals
cognitive radio network,  spectrum sensing,  energy detection,  multiple antennas,  

Full Text: PDF(1MB)>>
Buy this Article

This paper presents a novel statistic computation technique for energy detection-based spectrum sensing with multiple antennas. The presented technique computes the statistic for signal detection after combining all the signals. Because the computation of the statistic for all the received signals is not required, the presented technique reduces the computational complexity. Furthermore, the absolute value of all the received signals are combined to prevent the attenuation of the combined signals. Because the statistic computations are not required for all the received signals, the reduction of the computational complexity for signal detection can be expected. Furthermore, the presented technique does not need to choose anything, such as the binary phase rotator in the conventional technique, and therefore, the performance degradation due to wrong choices can be avoided. Numerical examples indicate that the spectrum sensing performances of the presented technique are almost the same as those of conventional techniques despite the complexity of the presented technique being less than that of the conventional techniques.