Details

Autor(en) / Beteiligte

• Chen, An-Zhi
• Shi, Zhi-Ping
• Sun, Hongxia
• He, Zhen-Qing
• Bu, Fan
• Yang, Dandi

Titel

A Low-Complexity Spectrum Sensing Method for Noncircular Signal in Cognitive Radio Networks With Multiple Receive Antennas

Ist Teil von

• IEEE communications letters, 2019-07, Vol.23 (7), p.1190-1193

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2019

Quelle

IEEE Xplore

Beschreibungen/Notizen

• This letter concentrates on the spectrum sensing (SS) problem for noncircular (NC) signal in multiantenna cognitive radio networks. A novel detection method called NC local average variance (NC-LAV) is developed to exploit the NC characteristic of the primary signals for SS. The distribution of the NC-LAV statistic in the absence of primary user is first derived. Then, based on the derived distribution, we present an asymptotic threshold determination of the proposed NC-LAV method. Compared to the peer methods, the proposed NC-LAV method exhibits much lower complexity. Meanwhile, the simulation results reveal that the proposed method achieves better performance than several state-of-the-art methods.