Parameter Estimation of LFM Signals Based on FOTD-CFRFT under Impulsive Noise
Houyou Wang,
Yong Guo,
Lidong Yang
Abstract:Due to the short duration and high amplitude characteristics of impulsive noise, these parameter estimation methods based on Gaussian assumptions are ineffective in the presence of impulsive noise. To address this issue, a LFM signal parameter estimation method is proposed based on FOTD and CFRFT. Firstly, the mathematical expression of FOTD is presented and its tracking performance is verified. Secondly, the tracked signal is subjected to discrete time CFRFT, and a mathematical optimization model for LFM sign… Show more
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