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Design and Implementation of Intelligent Radar Anti-jamming Simulation System

Published: 22 February 2024 Publication History

Abstract

In order to understand the radar anti-jamming simulation system, the research on the design and implementation of an intelligent radar anti-jamming simulation system is proposed. Firstly, this paper analyzes the intelligent anti-jamming working system based on modern radar. Secondly, a radar intelligent anti-jamming evaluation simulation system based on jamming signal perception is designed and implemented. The system is divided into three modules: jamming signal identification, active/passive jamming simulation and anti-jamming performance evaluation. Anti-jamming strategies such as sidelobe cancellation, sidelobe blanking and transmit beam optimization are adopted for different jamming, and the improvement of radar anti-jamming performance before and after anti-jamming is given, so that the whole process evaluation of radar intelligent anti-jamming is achieved. Finally, it shows that the system can provide a good verification platform for the analysis and verification of radar anti-jamming technology, and has certain application prospects.

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CNML '23: Proceedings of the 2023 International Conference on Communication Network and Machine Learning
October 2023
446 pages
ISBN:9798400716683
DOI:10.1145/3640912
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 February 2024

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