Parameter Estimation of FH Signals Based on STFT and Music Algorithm
Short-time Fourier Transform (STFT) can not take into account time and frequency resolution at the same time, and trade-off between them has to be made when its used. Multiple Signal Classification (MUSIC) algorithm can achieve high frequency estimation accuracy, but it requires searching spectral peak in the full range frequency domain, and this will take a long time. To meet the needs of high accuracy and realtime performance when estimating parameters of frequency hopping signals, an algorithm combining STFT and MUSIC algorithm is proposed, which can achieve high time and frequency resolution, and reduce the search range of MUSIC algorithms spectral peak. Simulation results show that this algorithm can estimate the hop transition times and the hopping frequencies accurately, and its real-time performance can fill the requirement of frequency measurement
STFT MUSIC algorithm time-frequency analysis FH signal parameter estimation
Li Tong Tang Yinhui Lv Jun
Department of Information Engineering Academy of Armored Force Engineering Beijing, China
国际会议
太原
英文
232-236
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）