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Medium PRF set selection using evolutionary algorithms

机译:使用进化算法选择中等PRF集

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摘要

This paper presents a new and novel method of selecting multiple pulse repetition frequency (PRF) sets for use in medium PRF pulsed-Doppler radars. Evolutionary algorithms are used to minimise the blind areas in the range/Doppler space. The evolutionary algorithm allows optimal solutions to be generated quickly, far faster than with exhaustive searches, and is fully automatic, unlike existing techniques. The evolved solutions compare very favorably against the results of both an exhaustive search and existing published PRF set selection methods. This evolutionary approach to generation of PRF sets is a major advance in medium PRF radar design.
机译:本文提出了一种用于中型PRF脉冲多普勒雷达的选择多脉冲重复频率(PRF)集的新方法。进化算法用于最小化距离/多普勒空间中的盲区。与现有技术不同,进化算法允许快速生成最优解,远比穷举搜索更快,并且是全自动的。改进后的解决方案与详尽搜索和现有已发布的PRF集选择方法的结果相比非常有利。这种生成PRF集的进化方法是中型PRF雷达设计的一项重大进步。

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