Single-channel source separation of radar fuze mixed signal using advanced adaptive decomposition

Author:

Zhu Hang ,Zhang Shu-Ning ,Zhao Hui-Chang , ,

Abstract

An advanced method of signal decomposition-advanced adaptive chirplet decomposition(AACD) is presented to separate the radar fuze mixed signal in single-channel. The method adds curvature factor to the adaptive Gauss chirplet decomposition (AGCD), thus it can be used to decompose nonlinear time varying components. It uses the fast algorithm and trust region method to optimize arithmetic process, then all the parameters can be solved accurately and quickly, and the mixed signal's time-frequency distribution without cross terms is obtained. In the simulation, the advanced method is used to improve the time-frequency distribution of complex mixed signals, then it can separate all the components and calculate the mixing coefficients. Results indicate that the proposed method has higher effectiveness and strong performance of anti-noise

Publisher

Acta Physica Sinica, Chinese Physical Society and Institute of Physics, Chinese Academy of Sciences

Subject

General Physics and Astronomy

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