Journal of Systems Engineering and Electronics ›› 2024, Vol. 35 ›› Issue (6): 1441-1453.doi: 10.23919/JSEE.2024.000117

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles    

Blind radar signal separation algorithm based on third-order degree of cyclostationarity criteria

Xiangyu FAN1,*(), Bin LIU2(), Danna DONG3(), You CHEN3(), Yuancheng WANG1()   

  1. 1 Bomber and Transport Aircraft Pilots Conversion Department, Air Force Harbin Flying College, Harbin 150088, China
    2 College of Joint Operations, National Defense University, Beijing 100091, China
    3 College of Aeronautical Engineering, Air Force Engineering University, Xi’an 710038, China
  • Received:2022-12-30 Online:2024-12-18 Published:2025-01-14
  • Contact: Xiangyu FAN E-mail:panda0077@163.com;277306879@qq.com;dongdannaemma@163.com;chenyousky@163.com;tigerbarton1982@163.com
  • About author:
    FAN Xiangyu was born in 1991. He received his Ph.D. degree in electronic science and technology from Air Force Engineering University, Xi’an, China, in 2020. He is now a lecturer at the Air Force Harbin Flying College. His main research directions are UAV swarm technology, electronic countermeasure theory and technology. E-mail: panda0077@163.com

    LIU Bin was born in 1991. He received his Ph.D. degree in information and communication engineering from Air Force Engineering University, Xi’an, China, in 2020. He is now a lecturer at the Joint Operation College of the National Defense University. His main research is electromagnetic spectrum operation. E-mail: 277306879@qq.com

    DONG Danna was born in 1990. She received her M.S. degree in electronic science and technology from Air Force Engineering University, Xi’an, China, in 2019. She is now an assistant engineer of the Chinese People’s Liberation Army. Her main research interests are electromagnetic spectrum operations and micro-nano electronics. E-mail: dongdannaemma@163.com

    CHEN You was born in 1983. He is currently an associate professor and master tutor at the Air Force Engineering University. His main research directions are UAV swarm technology, electronic countermeasure theory and technology. E-mail: chenyousky@163.com

    WANG Yuancheng was born in 1982. He received an M.S. degree in control engineering from Harbin Engineering University, Harbin, China, in 2014, and an M.S. degree in aerospace engineering from Tsinghua University, Beijing, China, in 2016. He is a lecturer at the Air Force Harbin Flying College. His main research directions are spatial positioning technology, airborne weapons and fire control systems. E-mail: tigerbarton1982@163.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61502522).

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.

Key words: blind signal separation, cyclostationary frequency, Givens matrix, degree of cyclostationarity (DCS) blind source separation algorithm