The optimized estimation of impulse response function using PSO

Abstract

A new estimation algorithm of impulse response function is put forward using PSO in this paper. Takes all points of impulse response function as one particle, and searches the best particle with PSO iterations. The evaluation function of PSO iterations is designed to satisfy the convolution equation of the linear vibration system, which requires the minimum sum of errors between the best impulse response function and the response signal with the impulse signal. And the smoothness of impulse response function and the consistency of frequency curves are considered in the design of the PSO evaluation function. The multi-mutation PSO iterations are used, which can avoid falling into the local optimal result. The simulating experiments indicate that the optimized estimation algorithm of impulse response function can work more stably and accurately than the related coefficient algorithm of impulse response function.