基于粒子滤波的短时正弦信号相位参数估计

Phase Parameter Estimation of Short-time Sine Wave Signal Based on Particle Filter

针对传统的相位参数估计方法的精度和局部收敛问题,提出了一种基于粒子滤波算法估计短时正弦信号相位的方法,设计了算法流程,研究了粒子数和相似度对参数估计精度的影响,估计了不同信噪比的正弦信号的相位,并与遗传算法和最小二乘法的结果进行了比较分析。结果表明,在信噪比大于20dB时,粒子滤波算法可以更快速、准确地估计出正弦信号的相位。

Aiming at the precision and local convergence problems of traditional phase parameter estimation method,this paper proposes a particle filter algorithm for estimating the phase of short-time sine wave signals,designs the algorithm flow,studies the influence of particle number and similarity on the accuracy of parameter estimation,estimates the phase of the short-time sine wave signal with different signalto noise ratio(SNR),and compares with the results of genetic algorithm and the least squares method.The results show that,when the SNR is greater than 20dB,the particle filter method can estimate the phase of the sine wave signal more quickly and accurately.