Work

Blind Radar Signal Separation Algorithm Based on Third-Order Degree of Cyclostationarity Criteria

Year: 2024

Type: article

Abstract: Separation and recognition of radar signals is the key function of modern radar reconnaissance, which is of great significance for electronic countermeasures and anti-countermeasures. In order to improve the ability of separating mixed signals in complex electromagnetic environment, a blind source separation algorithm based on degree of cyclostationarity (DCS) criterion is constructed in this paper. Firstly, the DCS criterion is constructed by using the cyclic spectrum theory. Then the algorithm flow of blind source separation is designed based on DCS criterion. At the same time, Givens matrix is constructed to make the blind source separation algorithm suitable for multiple signals with different cyclostationary frequencies. The feasibility of this method is further proved. The theoretical and simulation results show that the algorithm can effectively separate and recognize common multi-radar signals.

Source: Journal of Systems Engineering and Electronics

DOI: 10.23919/jsee.2024.000117

Authors: Fan Xiangyu, Liu Bin, Dong Danna, Chen You, Wang Yuancheng

Institutions: Air Force Harbin Flying College, PLA National Defence University, Air Force Engineering University

Language: English

Topic: Blind Source Separation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: National Natural Science Foundation of China

Award: G3528179776