Performance analysis of detection algorithm for follower noise jamming in Nakagami fading channels

In this paper，a novel follower noise jamming（FNJ)detection algorithm of frequency hopping FH communication is proposed.Using the method of cooperative spectrum sensing in cognitive radio， the probability density function of received signals is analyzed. The detection performance of single hop is researched in the additive white Gaussian noise（AWGN)channel. The detection probability and false alarm probability in Nakagami fading channel are deducted. The series form of the detection probability and false alarm probability are derived from the multiple integral using the methods of simplification.After the single hop is detected， the detection result is transmitted to the data fusion center.The detection performance of FNJ is analyzed by using the “k out of n” rule of cooperative spectrum sensing.Simulation shows that the correctness of the theoretical analysis results is validated.