Research on radar servo identification system based on particle swarm optimization

Xuesong Xu, H. Lei, Junhui Rui, Zhengyi Huang
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Abstract

In this paper, the radar servo system is modeled based on PSO Algorithm and Akaike Information Criterion and system identification theory. It is modeled by linear dynamic equations. Linear model of parameters which have a variety of different orders are identified based on PSO Algorithm whose order can be decided by Akaike Information Criterion. At last, the linear mathematical model of radar servo system can be concluded. The test and the simulation results show that it has great effect that radar servo system is described by this model.
基于粒子群优化的雷达伺服识别系统研究
本文基于粒子群算法、赤池信息准则和系统辨识理论对雷达伺服系统进行建模。它是用线性动力学方程来建模的。基于粒子群算法对不同阶数参数的线性模型进行识别,其阶数由Akaike信息准则决定。最后,建立了雷达伺服系统的线性数学模型。试验和仿真结果表明,用该模型来描述雷达伺服系统具有很好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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