Parameters estimation of LFM signal based on fusion of signals with the same length and known frequency-difference

Abstract

To attain fast and accurate parameters estimation of LFM signal under low signal and noise ratio conditions, a novel algorithm is presented. In this algorithm, LFM signal is first converted into multi-section signals with the same length and known frequency-difference by an easy sampling method, and the relation between the parameters of LFM signal and frequencies as well as frequency-differences of these multi-section signals is deduced. Then these multi-section signals are fused into one fusion signal by some techniques such as parameter matrix frequency-domain analysis,phase-difference compensating factor matrix and search frequency array. At last, high precision parameters estimation of LFM signal are gotten by frequencies estimation of the fusion signal through an algorithm based on fusing multi-section signals with the same length and known frequency- difference. The results show that the presented algorithm is with good noise immunity, good universality, high precision of parameter estimation, as well as nicer performance under low signal and noise ratio conditions.