An Adaptive Multi-component LFM Signal Parameter Estimation Based on STFRFT

Abstract

AbstractIn this paper, based on the multi-component linear frequency modulation (LFM) signal parameter estimation method, the fuselage echo model established and the rotor echo model within a short observation time are approximated to the characteristics of the LFM signal. Aiming at the problem of low accuracy of parameter estimation caused by the mutual influence of the component signals in the parameter estimation of multi-component LFM signals, an adaptive multi-component LFM based on short-time fractional Fourier transform (STFRFT) is proposed. This method combines the idea of parameter estimation from coarse to fine, adopts the strategy of reconstructing the signal and removing the estimated LFM component signal from the original signal, and realizes the parameter estimation of each LFM component signal in turn. According to the proposed presence or absence of the LFM component signal, the adaptive decision parameter estimation is terminated. The simulation experiment results verify the effectiveness of the method proposed in this paper.KeywordsLFMSTFRFTSignal parameter estimationFuselage echo model