Nakagami衰落信道下噪声跟踪干扰检测性能分析

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

针对慢跳频通信中噪声跟踪干扰的检测问题,提出了一种新的噪声跟踪干扰检测算法.该检测算法应用认知无线电中协作频谱感知方法,分析了接收信号的条件概率密度函数,研究了加性高斯白噪声信道下单跳信号存在干扰的检测性能.在此基础上,推导了Nakagami衰落信道下单跳信号存在干扰的检测概率和虚警概率,通过对检测概率和虚警概率中的多重积分进行化简,得到了检测概率和虚警概率的级数表达式.单跳信号检测后,把检测结果上报到融合中心,应用协作频谱感知中的"k out of n"准则分析了噪声跟踪干扰的检测性能.仿真结果验证了理论分析的正确性.

In this paper,a novel follower noise jamming（FNJ）detection algorithm of fre- quency hopping FH communication is proposed. Using the method of cooperative spec- trum sensing in cognitive radio, the probability density function of received signals is an- alyzed. 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.