Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (5): 1101-1115.doi: 10.23919/JSEE.2023.000064

• Advanced Radar Imaging and Intelligent Processing • Previous Articles     Next Articles

Cuckoo search algorithm-based optimal deployment method of heterogeneous multistatic radar for barrier coverage

Haipeng LI1,2(), Dazheng FENG1,*()   

  1. 1 National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
    2 The 1st General Department, Xi’an Electronic Engineering Research Institute, Xi’an 710100, China
  • Received:2022-06-09 Accepted:2023-02-16 Online:2023-10-18 Published:2023-10-30
  • Contact: Dazheng FENG;
  • About author:
    LI Haipeng was born in 1985. He received his B.S. degree in automation, and M.S. degree in signal and information processing from Xidian University, Xi ’an, China, in 2008 and 2011, respectively. Since July 2011, he has been working at Xi ’an Electronic Engineering Research Institute, Xi ’an, China. He is pursuing his Ph.D. degree from the National Key Laboratory of Radar Signal Processing, School of Electronic Engineering, Xidian University. His research interests include radar signal processing, radar network optimization, and target identification and estimation. E-mail:

    FENG Dazheng was born in 1959. He received his B.S. degree and M.S. degree from Xi’an Jiaotong University, Xi’an, China, in 1982 and 1986, respectively. He received his Ph.D. degree in electronic engineeering in 1996 from Xidian University, Xi ’an, China. Since July 2000, he has been a professor at Xidian University. He is a member of the IEEE. He has published more than 80 journal papers. His current research interests include adaptive signal processing, intelligence and brain information processing, array signal processing, communication signal processing, blind signal processing, and radar imaging technique. E-mail:
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61971470).


This paper proposes an optimal deployment method of heterogeneous multistatic radars to construct arc barrier coverage with location restrictions. This method analyzes and proves the properties of different deployment patterns in the optimal deployment sequence. Based on these properties and considering location restrictions, it introduces an optimization model of arc barrier coverage and aims to minimize the total deployment cost of heterogeneous multistatic radars. To overcome the non-convexity of the model and the non-analytical nature of the objective function, an algorithm combining integer line programming and the cuckoo search algorithm (CSA) is proposed. The proposed algorithm can determine the number of receivers and transmitters in each optimal deployment squence to minimize the total placement cost. Simulations are conducted in different conditions to verify the effectiveness of the proposed method.

Key words: heterogeneous multistatic radar (HMR), arc barrier coverage, minimum deployment cost, optimal deployment sequence, cuckoo search algorithm (CSA)