基于权值优化的协作式弱信号检测算法

Weak Signal Cooperative Detection Algorithm Based on Weight Optimization

针对传统的协作检测算法检测性能不高,不能满足无线电引信信号认知检测性能的要求,提出一种基于偏移系数的权值优化的协作检测算法。该算法的核心是对权值向量采用了基于偏移系数的优化方法,其实质就是求权值向量的最大瑞利商,由此得到的结果具有对弱信号逼近最佳检测的优异性能。仿真结果表明:提出的权值优化的协作算法相比于传统的协作算法,大大提高了在低信噪比情况下的检测性能。

According to the poor performeance of traditional cooperative detection algorithm, a weak signal cooperative detection algorithm based on the weight optimization with deflection coefficient was researched to satisfy the per formeance requirement of cognitive fuze signal detection. The core of the algorithm was optimize the weight vector based on deflection coefficient criterion, the essence was to derive the maximum rayleigh quotient of the weight vector. The performance of the method was good enough to approach the optimum detection of weak signal. Simulation showed that the cooperative detection algorithm proposed in the paper could greatly improve the detection performeance in low sig hal-to-noise ratio comparing to the traditional cooperative detection algorithm.