Article(id=1253997369784206082, tenantId=1146029695717560320, journalId=1251234736404742242, issueId=1253997366797857283, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-2337.2025.05.002, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1749830400000, receivedDateStr=2025-06-14, revisedDate=1756656000000, revisedDateStr=2025-09-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1776905871100, onlineDateStr=2026-04-23, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1776905871100, onlineIssueDateStr=2026-04-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1776905871100, creator=13041195026, updateTime=1776905871100, updator=13041195026, issue=Issue{id=1253997366797857283, tenantId=1146029695717560320, journalId=1251234736404742242, year='2025', volume='23', issue='5', pageStart='473', pageEnd='590', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1776905870387, creator=13041195026, updateTime=1777355497251, updator=13041195026, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1255883238690702048, tenantId=1146029695717560320, journalId=1251234736404742242, issueId=1253997366797857283, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1255883238690702049, tenantId=1146029695717560320, journalId=1251234736404742242, issueId=1253997366797857283, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=482, endPage=490, ext={EN=ArticleExt(id=1253997370082001672, articleId=1253997369784206082, tenantId=1146029695717560320, journalId=1251234736404742242, language=EN, title=A Method for Coherent Synthesis of Moving Targets Based on Spatio-Temporal Unified Compensation in Space-Based Distributed Radar, columnId=null, journalTitle=Radar Science and Technology, columnName=null, runingTitle=null, highlight=null, articleAbstract=

This study addresses the detection requirements of space-based distributed radar system for high-speed maneuvering space targets. Aiming at the problems of echo range migration and Doppler crossing caused by platform spatial position difference and target high-speed maneuvering characteristics, a spatio-temporal two-dimensional coherent accumulation method for space-based distributed radar is proposed. Based on the spatio-temporal phase history of target echoes, the algorithm designs a spatio-temporal joint compensation function between and within distributed radar nodes and incorporates the node spatial synthesis compensation and intra-channel target motion compensation into a unified processing framework. Firstly, an equivalent compensation function model is established under the distributed one transmitter and multi-receiver configuration, emulating a monostatic transceiver mode. Through envelope range correction and spatial phase difference compensation, the echo time-domain process of distributed nodes is completely unified, so as to achieve spatial coherent accumulation. Secondly, the time domain two-dimensional walk correction of the target echo in the node is carried out to realize the time domain pulse coherent accumulation of the high-speed maneuvering target. To enhance the computational efficiency, on the basis of generalized Radon-Fourier transform (GRFT), the target coherent accumulation problem is transformed into parameter estimation problems such as target angle, velocity, and acceleration, thereby the accumulation detection of space-based distributed radar for space targets is realized. Finally, the effectiveness of the method is evaluated by simulation experiments. The simulation results show that the method can accurately estimate the target parameters, and the coherent accumulation gain is consistent with the theoretical analysis.

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本文面向天基分布式雷达对高速机动目标的探测需求，针对平台空间位置差异和目标高速机动特性导致的回波距离走动和多普勒跨越问题，提出了天基分布式雷达对空间高速机动目标的时空二维相参积累方法。本文基于回波时间-空间相位历程设计了分布式雷达节点间和节点内的时空二维联合补偿函数，将节点空间合成补偿与节点内目标运动补偿纳入统一框架。首先，建立分布式一发多收等效为单节点自发自收的等效补偿函数模型，通过包络距离矫正和空间相位差的补偿，将分布式各节点的回波时域过程完全统一，从而实现回波空间相参积累。其次，进行节点内目标回波的时域两维走动矫正，实现高速机动目标的时域脉冲相参积累。为提高计算效率，在GRFT的基础上把目标相参积累问题转换为目标角度、速度和加速度等参数估计问题，实现天基分布式雷达对空间目标的积累检测。最后，通过仿真实验对方法的有效性进行了评估，仿真结果证明该方法能够准确估计目标参数，相参积累增益与理论分析吻合。

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张晓波 男，博士，研究员，主要研究方向为雷达系统。

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张晓波 男，博士，研究员，主要研究方向为雷达系统。

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李相海 男，博士，讲师，主要研究方向为天基分布式雷达微弱目标信号相参处理。

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李相海 男，博士，讲师，主要研究方向为天基分布式雷达微弱目标信号相参处理。

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徐星苑 女，博士研究生，主要研究方向为高速机动目标探测成像。

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徐星苑 女，博士研究生，主要研究方向为高速机动目标探测成像。

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高翔 男，硕士研究生，主要研究方向为天基分布式雷达SAR-GMTI处理。

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高翔 男，硕士研究生，主要研究方向为天基分布式雷达SAR-GMTI处理。

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杨志伟 男，博士，教授，主要研究方向为天基雷达空中动目标探测成像。

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杨志伟 男，博士，教授，主要研究方向为天基雷达空中动目标探测成像。

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参数	参数值
载频fc	0.5GHz
带宽B	5MHz
重频PRF	1200Hz
脉宽Tp	30μs
采样率fs	6MHz
脉冲数Na	360

), ArticleFig(id=1253999615896908037, tenantId=1146029695717560320, journalId=1251234736404742242, articleId=1253997369784206082, language=CN, label=表1, caption=

分布式雷达系统参数

, figureFileSmall=null, figureFileBig=null, tableContent=

参数	参数值
载频fc	0.5GHz
带宽B	5MHz
重频PRF	1200Hz
脉宽Tp	30μs
采样率fs	6MHz
脉冲数Na	360

), ArticleFig(id=1253999615972405512, tenantId=1146029695717560320, journalId=1251234736404742242, articleId=1253997369784206082, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=

目标	初始斜距/km	速度/（m·s-1）	加速度/（m·s-2）	角度/（°）
1	150.599	4026	203.5	0.220
2	160.599	4026	203.5	0.211
3	175.599	4176	203.5	0.197

), ArticleFig(id=1253999616077263115, tenantId=1146029695717560320, journalId=1251234736404742242, articleId=1253997369784206082, language=CN, label=表2, caption=

动目标运动参数

, figureFileSmall=null, figureFileBig=null, tableContent=

目标	初始斜距/km	速度/（m·s-1）	加速度/（m·s-2）	角度/（°）
1	150.599	4026	203.5	0.220
2	160.599	4026	203.5	0.211
3	175.599	4176	203.5	0.197

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目标	初始斜距/km	速度/（m·s-1）	加速度/（m·s-2）	角度/（°）
1	150.6	4025.98	203.498	0.245
2	160.6	4275.98	203.498	0.216
3	175.599	4175.98	203.498	0.201

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动目标参数估计结果

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目标	初始斜距/km	速度/（m·s-1）	加速度/（m·s-2）	角度/（°）
1	150.6	4025.98	203.498	0.245
2	160.6	4275.98	203.498	0.216
3	175.599	4175.98	203.498	0.201

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