Multi-component LFM Signal Separation Based on k-FB Series Expansion
HE Qifang
ZHANG Qun
LUO Ying
LIANG Bishuai
Abstract：Aimed at the problems that parameters are very difficult to be estimated and multi-component LFM signals are difficult to be separated by using the Fourier-Bessel transform (FBT) algorithm, a new method based on k-resolution FB (k-FB) series in conjunction with the Dechirp technique is proposed.The k-resolution is introduced into the FB series, and the relationship between the frequency content and the order of k-FB series is derived.Meanwhile, the positive correlation between the k-resolution and the estimation precision is proved.With the Dechirp technique and the k-FB series expansion, multi-component signal separation and parameter estimation are both realized.The performance of the signal separation precision under various SNR conditions with different k-resolution and signal power ratios is simulated.Moreover, a performance comparison between the proposed method and the traditional fractional Fourier transform (FrFT) based method is also provided.The simulation results show that the method is valid.
Keywords：K-FB seriesmulti-component LFM signalsseparation and reconstructionparameter estimation
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 60-65 )