Research Article
Distributed Jamming Method for STAP Radar Based on Algorithm of Improved MOEA/D-PBI
@INPROCEEDINGS{10.1007/978-3-030-90196-7_34, author={Wenbo Yang and Gaogao Liu and Dongjie Huang and Minhua Zheng}, title={Distributed Jamming Method for STAP Radar Based on Algorithm of Improved MOEA/D-PBI}, proceedings={Artificial Intelligence for Communications and Networks. Third EAI International Conference, AICON 2021, Xining, China, October 23--24, 2021, Proceedings, Part I}, proceedings_a={AICON}, year={2021}, month={11}, keywords={Improved penalty-based boundary intersection Distributed jamming Genetic algorithm}, doi={10.1007/978-3-030-90196-7_34} }- Wenbo Yang
Gaogao Liu
Dongjie Huang
Minhua Zheng
Year: 2021
Distributed Jamming Method for STAP Radar Based on Algorithm of Improved MOEA/D-PBI
AICON
Springer
DOI: 10.1007/978-3-030-90196-7_34
Abstract
In modern warfare, the role of airborne early warning aircraft is becoming more and more significant. The airborne early warning radar can accurately detect moving targets in a chaotic environment. Its suppression of strong clutter and jamming by radar is mainly through space-time adaptive processing (STAP) technology to achieve. The STAP algorithm uses the two domains of time and space to perform two-dimensional joint processing on the echo data, adaptively forming a notch that matches the clutter and jamming, and its excellent jamming suppression capability increases the difficulty of radar countermeasures. In this case, it is very necessary to conduct a comprehensive jamming study about the technology. At present, relevant jamming methods at home and abroad are still in the preliminary research stage. In this paper, we take genetic algorithm as an example, and a new distributed jamming method for STAP radar based on improved penalty-based boundary intersection decomposition multiobjective evolutionary algorithm (MOEA/D-PBI) is introduced in the many-to-many confrontation. Through simulation experiments, the optimized distributed jamming scheme is compared with the distributed jamming scheme before optimization, verifying the feasibility of the method proposed in this paper, which simplifies the problem of jamming resource allocation and realizes a fast search for the optimal allocation strategy, and complete real-time jamming decision-making on the battlefield.
