Parameters Estimation of Multi-sine Signals Based onGenetic Algorithms

摘要

An improved Genetic Algorithms (GA) for parameters estimation ofrnmulti-sine signals (PEMS) is proposed. The strategies of self-adaptive elite criterion,rntwo-points crossover and cataclysmic mutation are employed in this algorithmrnto improve the performance of GA. For simplifying the computation, arncomplicated operating process is converted into several simple processes. Arnmodel of PEMS is also built which is conveniently applied to GA. Simulationrnresults show that the proposed method is effective and superior to the least -meanrnsquares (LMS) method.