Title :
Feature Detection Based on Multiple Cyclic Frequencies in Cognitive Radios
Author :
Xiangzhen, Liu ; Xuping, Zhai
Author_Institution :
Key Lab. of Special Fiber Opt. & Opt. Access Networks, Shanghai Univ., Shanghai
Abstract :
Signal feature detection is one of spectrum sensing methods in cognitive radios. It can detect primary user reliably in low SNR regime. In this paper, an asymptotical chi2 test is extended to spectrum sensing in cognitive radios, and a joint detection scheme based on multiple cyclic frequencies is proposed. Simulation results show the improved performance of the proposed scheme in the low SNR regime.
Keywords :
cognitive radio; signal detection; cognitive radios; joint detection scheme; multiple cyclic frequencies; signal feature detection; spectrum sensing; Chromium; Cognitive radio; Computer vision; Frequency; Random processes; Receivers; Signal detection; Signal to noise ratio; Spread spectrum radar; Testing; Cognitive radio; cyclic feature; detection; spectrum sensing;
Conference_Titel :
Microwave Conference, 2008 China-Japan Joint
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3821-1
DOI :
10.1109/CJMW.2008.4772428
