雷达与对抗2024,Vol.44Issue(2) :16-24.DOI:10.19341/j.cnki.1009-0401.2024.02.004

基于改进SPSF算法的长时间脉间积累算法

A long-time interpulse accumulation algorithm based on improved SPSF algorithm

刘海涵
雷达与对抗2024,Vol.44Issue(2) :16-24.DOI:10.19341/j.cnki.1009-0401.2024.02.004

基于改进SPSF算法的长时间脉间积累算法

A long-time interpulse accumulation algorithm based on improved SPSF algorithm

刘海涵1
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作者信息

  • 1. 中国船舶集团有限公司第八研究院,南京 211153
  • 折叠

摘要

针对基于SPSF算法的Clean算法难以获得所需强目标运动精确参数,易造成信号能量损失的问题,提出一种基于改进SPSF算法的长时间脉间积累算法即KTR-ISPSF算法.首先采用KTR算法得到动目标的粗略参数,然后构建运动目标匹配模型,设置搜索区间,在区间范围内精确搜索强目标参数,根据搜索结果构建匹配项对消强目标,实现弱散射目标脉间能量的相参积累,最后通过仿真验证了算法的有效性.

Abstract

Addressing the difficulty of obtaining precise parameters for highly moving targets and the issue of signal energy loss in the Clean algorithm based on the SPSF(Sinc Point Spread Func-tion)algorithm,a long-time interpulse accumulation algorithm based on the improved SPSF algo-rithm,namely the KTR-ISPSF algorithm,is proposed.The KTR algorithm is used to obtain coarse parameters of moving targets,and then it constructs a moving target matching model,sets a search interval,and performs precise parameter search for strong targets within this interval.Based on the search results,it constructs matching pairs to cancel strong targets and achieve coher-ent accumulation of interpulse energy from weak scattering targets.Finally,the effectiveness of the algorithm is verified through simulation.

关键词

目标检测/SPSF算法/KTR算法/Radon变换

Key words

target detection/SPSF algorithm/KTR algorithm/Radon transform

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出版年

2024
雷达与对抗
南京船舶雷达研究所

雷达与对抗

影响因子:0.158
ISSN:1009-0401
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