摘要
在多重频(PRFs)雷达系统中,常常采用多重频参差来解决回波中的距离和多普勒模糊问题。对于低重频应用,本文提出了一种以最大化解速度模糊空间为准则的新的重频组选择方法。考虑到测量误差会对解速度模糊产生一定影响,同时速度天际线图能够反映解速度模糊余量的大小,因此本文采用遗传算法,并在优化过程中构建了以速度天际线图为核心的目标函数进行重频筛选。本文方法的有效性和可靠性通过仿真实验得以验证。
In multiple pulse repetition frequencies(PRFs)radars,the PRF set is used to resolve the ambiguities in both range and Doppler frequency.In this paper,a novel PRF selection scheme is proposed.The optimization is driven by the requirement to maximize the decodable velocity space for low PRF applications.Considering the influence of the measurement errors on the velocity decodability,the velocity skyline diagram which is termed the decodability margin is concerned during the optimization process by the genetic algorithm(GA).Simulation experiments are presented to validate the effectiveness and reliability of the proposed algorithm in finding a optimal PRF set.
作者
怀园园
董国
臧会凯
师志荣
蔡兴雨
HUAI Yuanyuan;DONG Guo;ZANG Huikai;SHI Zhirong;CAI Xingyu(Xi’an Electronic Engineering Research Institute,Xi’an 710100)
出处
《火控雷达技术》
2019年第3期71-75,82,共6页
Fire Control Radar Technology
关键词
多重频
天际线图
重频组优化
遗传算法
multiple pulse repetition frequencies(PRFs)
skyline diagram
PRF selection
genetic Algorithm(GA)
