Study on Management and Control of Radar Based on Genetic Algorithms

Abstract:

Based on an in-depth study on warning area security of radar network, this paper sets the cost of radar networks overall operation as the objective function and proposes mathematical models for management and control of radar under circumstances with interference, aiming at accomplish the security mission within warning area on the basis of the constraint condition that the warning areas at different height can satisfy joint probability of detection and coefficient of radar coverage. We use a modified genetic algorithm for the calculation of radar management and control model, save the feature of the optimized individuals via defining the probability, and improve the algorithm through setting reasonable parameter. The simulation calculation and practical application prove that the model and the scheme are effective because the qualified rate of radar management and control meet the requirement (reaches 100% from 36.54% with the increment of 63.46%), the number of operational radar reduced, and the anti-jamming measures are reasonable.

• Periodical: Applied Mechanics and Materials (Volumes 444-445)
• Pages: 923-931
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.444-445.923
• Online since: October 2013
• Authors: Ming Lei, Jin Xu
• Keywords: Control of Radar, Genetic Algorithm (GA), Management of Radar, Radar Network, Warning Area

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