Phased Array Radar Resource Consumption Method Based on Phase-Switched Screen

Author:

Hao Guoqing1,Feng Dejun1,Wang Junjie1,Zhou Zimeng1,Wang Ling1

Affiliation:

1. The State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China

Abstract

The consumption of phased array radar (PAR) resources affects the accuracy of its multi-target searching and tracking abilities. The jamming methods aimed at PAR involve deceptive jamming and comprehensive jamming strategies, but have the disadvantages of high cost and complexity. Given this context, this paper proposes a PAR resource consumption method based on phase-switched screen (PSS), and derives a relationship between the targets and the evaluation indicators. By implementing periodic modulation of PSS, a controlled number of deceptive multiple false targets can be generated, thereby enticing the radar system to engage in activities such as searching and tracking targets. When the quantity of false targets is increased, the number of beam requests becomes five times higher than compared to the scenario without false targets. This has also led the margin of time resources to exceed 50%, successfully achieving the objective of consuming radar resources. Furthermore, this method offers straightforward manipulation, flexibility, and the potential to significantly consume radar resources. The efficacy of the proposed method is confirmed with the simulation outcomes.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference24 articles.

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3. Lu, J. (2007). Theory and Method of Resource Optimization and Management for Phased Array Radars. [Ph.D. Thesis, National University of Defense Technology].

4. Wang, X., Xiao, S., and Feng, D. (2010). System Modeling and Simulation of EW of Modern Radar, Publishing House of Electronics Industry.

5. Tao, T., Zhang, G., and Leung, H. (2019, January 20–22). An Optimal Algorithm of Time Resource for Multi-Target Tracking under Active Oppressive Jamming. Proceedings of the 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Dalian, China.

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