Multi-component LFM signal detection based on DIRFAT algorithm

A novel algorithm based on Discrete-Improved-Radon-Fourier-Ambiguity-Transform (DIRFAT) is proposed for linear frequency modulated (LFM) signal detection and parameter estimation in this paper. By the proposed algorithm, the components can be coherently integrated into distinct peaks on DIRFAT plane, and their parameters can be estimated simultaneously. The proposed algorithm consists of three stages. Firstly, eliminate the linear chirp rate of the every component on discrete ambiguity function (DAF) plane by axis rotation (AR). Afterward, compensate the phase item caused by AR. Otherwise, the energy of the components may spread. Finally, coherently integrate the components and realize components detection. Compared with several existing algorithms, DIRFAT algorithm has better parameter estimation accuracy. Both simulations and real data processing demonstrate that DIRFAT algorithm can detect and analyze Multi-component LFM signals effectively without the affection of the cross-terms.