A Novel Parameter Estimation Method Based on Piecewise Nonlinear Amplitude Transform for the LFM Signal in Impulsive Noise

In a complex electromagnetic environment, any noise present generally exhibits strong impulsive characteristics. The performance of existing parameter estimation methods carried out in Gaussian white for the linear frequency modulation (LFM) signal degrades or even fails under noise. This paper proposes novel method to address this problem. Firstly, properties piecewise nonlinear amplitude transform (PNAT) are derived. manuscript verifies that PNAT can retain phase information LFM while suppressing Subsequently, new concept known as parametric symmetric instantaneous autocorrelation function (PNAT-PSIAF) is proposed. Based on concept, called Lv’s distribution (PNAT-LVD) proposed estimate centroid and chirp rate signal. simulations show algorithm effectively suppress without prior knowledge both single-component double-component addition, two parameters be precisely estimated by low generalized signal-to-noise ratios (GSNR). stronger characteristics noise, better algorithm.