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Combination search strategy‐based improved particle swarm optimisation for resource allocation of multiple jammers for jamming netted radar system.
- Source :
- IET Signal Processing (Wiley-Blackwell); Apr2023, Vol. 17 Issue 4, p1-14, 14p
- Publication Year :
- 2023
-
Abstract
- This paper presents a new algorithm named combination search strategy (CSS)‐based improved particle swarm optimisation (IPSO) to address the resource allocation problem of multiple jammers. First, the authors propose a CSS to effectively broaden the limited search range of the two‐step solving framework. This method not only simplifies the solution framework but also considers the combined relationship between beam pointing and transmit power to determine the global solution to the original problem directly. Second, the authors propose the IPSO because the complexity of the decision variables is increased by CSS. This method can change the focus of searching the optimal solution at different stages, correct the direction of particle evolution over time and avoid the interference between the variables. Finally, this study simulates the problem of resource allocation of multiple jammers based on the CSS‐IPSO. Based on the simulation results, the combined search strategy can obtain better resource allocation results in a short time, and the IPSO algorithm can further improve the accuracy and stability of the resource allocation results. [ABSTRACT FROM AUTHOR]
- Subjects :
- RADAR interference
PARTICLE swarm optimization
RESOURCE allocation
Subjects
Details
- Language :
- English
- ISSN :
- 17519675
- Volume :
- 17
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- IET Signal Processing (Wiley-Blackwell)
- Publication Type :
- Academic Journal
- Accession number :
- 163309946
- Full Text :
- https://doi.org/10.1049/sil2.12198