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Accurate Localisation of Multiple Rocket Debris Based on Genetic Algorithms
Abstract
This paper proposes an accurate positioning method for rocket debris based on genetic algorithm. The rocket debris will produce supersonic sonic boom in the process of falling, this paper realises the high precision positioning of the sonic boom position and time of the rocket debris by arranging multiple vibration wave monitoring devices in the debris theoretical fallout area, constructing a set of multilateral measurement equations by using the difference in the arrival time of the sonic boom, and introducing genetic algorithms to optimally solve the hyperbolic equations to achieve high precision positioning of the sonic boom position and time of the rocket debris. The results show that the genetic algorithm can effectively avoid the local optimum problem of the traditional method and significantly improve the positioning accuracy. In addition, this paper also explores the error analysis model and the optimisation method of monitoring equipment arrangement, which further improves the reliability and adaptability of the positioning system.
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