Journal of Systems Engineering and Electronics ›› 2025, Vol. 36 ›› Issue (3): 671-680.doi: 10.23919/JSEE.2024.000107

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles    

Radar pulse waveform design method based on complementary amplitude coding

Ailun XIE(), Xiaobin LIU(), Qihua WU(), Feng ZHAO(), Zhenyu QIAO(), Shunping XIAO()   

  • Received:2024-02-02 Accepted:2024-08-17 Online:2025-06-18 Published:2025-07-10
  • Contact: Xiaobin LIU E-mail:xieailunwy@163.com;xiaobinat08@yeah.net;stevewoo1990@outlook.com;zhfbee@tom.com;qiaozhenyu21@126.com;xiaoshunping_nudt@163.com
  • About author:
    XIE Ailun was born in 1997. He received his B.S. degree in electronic engineering and his M.S. degree in information and communication engineering from the National University of Defense Technology, Changsha, China, in 2020 and 2022, respectively, where he is currently pursuing his Ph.D. degree with the State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System. His research interests include radar system simulation and radar signal processing. E-mail: xieailunwy@163.com

    LIU Xiaobin was born in 1990. He received his B.S. degree in communication engineering from Hunan University, Changsha, China, in 2012, M.S. and Ph.D. degrees in information and communication engineering from the National University of Defense Technology, Changsha, China, in 2014 and 2018, respectively. He is currently an associate professor with the State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System. His research interests include radar system simulation and radar signal processing. E-mail: xiaobinat08@yeah.net

    WU Qihua was born in 1990. He received his B.S. degree in communication engineering from Nanjing University, Nanjing, China, in 2013, M.S. and Ph.D. degrees in information and communication engineering from the National University of Defense Technology, Changsha, China, in 2015 and 2019, respectively. He is currently a lecturer with the State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System. His research interests include radar imaging techniques and radar signal processing. E-mail: stevewoo1990@outlook.com

    ZHAO Feng was born in 1978. He received his B.S. degree in electronic engineering and Ph.D. degree in information and communication engineering from the National University of Defense Technology (NUDT), Changsha, China, in 2001 and 2007, respectively. He is currently a professor with NUDT. His research interests include radar system design and detection techniques of tracking and guiding radar. E-mail: zhfbee@tom.com

    QIAO Zhenyu was born in 1993. He received his B.S. degree in radar engineering from Army Engineering University, Nanjing, China, in 2019. He is currently pursuing his M.S. degree with the State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System. His research interests include radar system simulation and radar signal processing. E-mail: qiaozhenyu21@126.com

    XIAO Shunping was born in 1964. He received his B.S. and Ph.D. degrees in electronic engineering from the National University of Defense Technology (NUDT), Changsha, China, in 1986 and 1995, respectively. He is currently a professor with NUDT. His research interests include radar target recognition and radar signal processing. E-mail: xiaoshunping_nudt@163.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (62001481; 61890542) and the Natural Science Foundation of Hunan Province (2021JJ40686).

Abstract:

Low sidelobe waveform can reduce mutual masking between targets and increase the detection probability of weak targets. A low sidelobe waveform design method based on complementary amplitude coding (CAC) is proposed in this paper, which can be used to reduce the sidelobe level of multiple waveforms. First, the CAC model is constructed. Then, the waveform design problem is transformed into a nonlinear optimization problem by constructing an objective function using the two indicators of peak-to-sidelobe ratio (PSLR) and integrated sidelobe ratio (ISLR). Finally, genetic algorithm (GA) is used to solve the optimization problem to get the best CAC waveforms. Simulations and experiments are conducted to verify the effectiveness of the proposed method.

Key words: waveform design, low sidelobe, complementary amplitude coding (CAC), genetic algorithm (GA)