Systems Engineering and Electronics ›› 2023, Vol. 46 ›› Issue (1): 97-104.doi: 10.12305/j.issn.1001-506X.2024.01.11

• Sensors and Signal Processing • Previous Articles    

Airborne radar air-to-air RF stealth detection parameter design based on NSGA-Ⅲ

Jun LIU1,2, Ning CUI1,2, Jiaxin XIE1,2, Kun XING1,*   

  1. 1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    2. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2022-07-15 Online:2023-12-28 Published:2024-01-11
  • Contact: Kun XING

Abstract:

The target detection requires a large radiation power for radar, however, this would enlarge its radiation characteristics and reduce the ability of radio frequency (RF) stealth, hence it is becoming a challenge to balance the performance of RF stealth and detection. Therefore in this paper, a multi-target optimal parameters design method is proposed for airborne radar air moving RF stealth detection mode. The proposed method firstly establishes a multi-target optimization model for RF stealth detection of air moving target, and then non-dominated sorting genetic algorithm Ⅲ (NSGA-Ⅲ) is applied to solve this model to obtain the Pareto optimal solution set. Finally, an optimal solution can be selected by using the analytic hierarchy process and technique for order preference by similarity to ideal solution multi-property decision method. The results of numerical experiments verify the efficacy of the proposed method can be applied to the air moving target RF stealth detection parameters design.

Key words: airborne radar, air moving target detection, radio frequency (RF) stealth, multi-target optimization

CLC Number: 

[an error occurred while processing this directive]