Paper
27 March 2022 Study on the searching and tracking of antimissile early warning radar network system based on the genetic algorithm
Author Affiliations +
Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 1216975 (2022) https://doi.org/10.1117/12.2624941
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China
Abstract
The main problem of ballistic missile early warning by the antimissile early warning radar network system is the duplicating of searching and tracking of multiple warheads with focused firing ballistic missiles. Then the detecting resource is close to saturation, and the whole warheads can't be tracked effectively. The model of coordination searching and tracking of antimissile early warning radar network system based on the genetic algorithm was proposed. The detection efficiency of radar network system was set as the objective function. The multiple warheads was distributed based on the genetic algorithm in view of the threat level of different warheads, the detection efficiency and the detection resource consumed of radars. The detection efficiency of radar was improved in the focused firing ballistic missiles scene. The model was established based on the STK software, and the correction of the algorithm was verified. The result is has important reference value to increasing the detection efficiency of the antimissile early warning radar network system.
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Hailin Jiang "Study on the searching and tracking of antimissile early warning radar network system based on the genetic algorithm", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 1216975 (27 March 2022); https://doi.org/10.1117/12.2624941
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KEYWORDS
Radar

Target detection

Genetic algorithms

Missiles

Optimization (mathematics)

Detection and tracking algorithms

Evolutionary algorithms

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