基于遗传算法的随机脉位多普勒引信波形优化

›› 2015, Vol. 28 ›› Issue (8): 87-.

基于遗传算法的随机脉位多普勒引信波形优化

苏宇逍

(中国空空导弹研究院总体部,河南洛阳 471009)

出版日期:2015-08-15 发布日期:2015-08-15
作者简介:苏宇逍(1980—),男,工程师。研究方向:导弹总体测试技术。E-mail:snail_s@aliyun.com

Optimization of RPPM Fuze Waveform with Genetic Algorithms

SU Yuxiao

(General Department,China Airborne Missile Academy,Luoyang 471009,China)

Online:2015-08-15 Published:2015-08-15

摘要/Abstract

摘要：

波形设计的优劣直接影响无线电引信的抗干扰能力。随机脉位多普勒引信发射波形设计涉及诸多参数的选择及优化。将待优化的参数作为输入,以波形的模糊函数为优化目标函数,应用全局最优解搜索算法——遗传算法,对波形参数选择进行计算机优化。并通过对优化结果进行分析,结果表明参数优化后可提高引信的抗干扰能力,且所用算法高效、成熟。

关键词: 无线电引信;随机脉位调制;波形优化;遗传算法

Abstract:

The quality of waveform design of radio fuze influence its ability of anti-jam directly.Waveform design in random pulse position modulation Doppler fuze involves selection and optimization of a good many parameters.Using these parameters as inputs,ambiguity function of the waveform as the object function,we can optimize waveform parameters with genetic algorithms,which is a through out solution searching algorithms.The result of the optimization indicates that it can improve the performance of anti-jam of radio fuze,and the algorithms is effective and mature.

Key words: radio fuze;random pulse position modulation;waveform optimization;genetic algorithms

中图分类号:

TN958.2

苏宇逍. 基于遗传算法的随机脉位多普勒引信波形优化[J]. , 2015, 28(8): 87-.

SU Yuxiao. Optimization of RPPM Fuze Waveform with Genetic Algorithms[J]. , 2015, 28(8): 87-.