Maximum likelihood estimation model and parameter fast estimation algorithm of LFM signal
Jintao Xiong · Chinese Journal of Radio Science · 2005
Based on the Maximum Likelihood (ML) estimation model, a LFM signal parameter estimation model and its fast algorithm for estimating the chirp rate and initial frequency fitting for normal gauss (included colored noise) environment is presented in this paper. The algorithm keeps the advantage of high precision of ML estimation and decreases the calculation cost of traditional ML method as well as. Also, the CRB of parameter estimation of LFM under normal gauss circumstance is carried out and a real low bounds for variance of estimated parameter is obtained.