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Performance Analysis of Detection Algorithm for Follower Noise Jamming in Rayleigh Fading Channel |
YAN Yunbin,WANG Yongchuan,TIAN Qingmin,LI Yongke |
(UAV Engineering Department, Ordnance Engineering College, Shijiazhuang 050003, China) |
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Abstract Abstract: The detection performance of follower noise jamming (FNJ) for frequency hopping(FH) communication was analyzed in the Rayleigh fading channel. The detection performance of single hop was studied in the AWGN (Addive White Gaussian Noise) channel using the cooperative spectrum sensing in cognitive radio (CR). The detection probability and false alarm probability in the Rayleigh fading channel were deducted. Besides, the detection performance of FNJ in the Rayleigh fading channel was obtained using the “k out of n” rule. The simulation valified the results of theoretical analysis.
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Received: 19 November 2013
Published: 28 October 2014
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