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基于首值辅助相位测距的空间翻滚柱状目标多维特征参数估计方法

吴悦阳 邵帅 刘宏伟

现代雷达2025,Vol.47Issue(10):19-31,13.
现代雷达2025,Vol.47Issue(10):19-31,13.DOI:10.16592/j.cnki.1004-7859.2025050701

基于首值辅助相位测距的空间翻滚柱状目标多维特征参数估计方法

Multi-dimensional Feature Parameter Estimation Method for Space Tumbling Cylindrical Targets Based on Initial-value-aided Phase Ranging

吴悦阳 1邵帅 1刘宏伟1

作者信息

  • 1. 西安电子科技大学 雷达信号处理全国重点实验室,陕西 西安 710071
  • 折叠

摘要

Abstract

In missile defense systems,rapid warhead identification and threat assessment are critical.Existing methods often con-sider the missile bus as clutter and rely on the warhead's micro-motion signatures for recognition and early warning.However,fac-tors such as range measurement accuracy,warhead size,and motion patterns limit the precision of micro-motion curve extraction.Furthermore,feature parameter estimation typically depends on prior information,constraining identification and assessment per-formance.To address these issues,an approach is proposed that transforms the bus from a nuisance into a resource by leveraging its feature parameters to assist warhead identification and support threat capability assessment.Specifically,a multi-dimensional feature parameter estimation method for tumbling cylindrical targets based on initial-value-aided phase ranging is developed.The main contributions are as follows:1.A initial-value-aided phase ranging technique is proposed to mitigate off-grid issues and im-prove the precision and robustness of phase measurements by finely extracting first-value micro-ranges and refining overlapping re-gions through gradient-based reassociation.2.A two-step sum-difference estimation algorithm is introduced to eliminate interference terms and enable accurate multidimensional feature parameter estimation without relying on prior information,by exploiting the sum and difference properties of micro-motion curves and their derivatives.Extensive experiments validate that the proposed method a-chieves accurate and robust multidimensional feature parameter estimation for tumbling cylindrical targets,offering strong technical support for true warhead recognition and threat assessment.

关键词

宽带信号处理/相位测距/翻滚柱状目标/微动特征提取/参数估计

Key words

wideband signal processing/phase-derived range/tumbling cylindrical target/micro-motion feature extraction/param-eter estimation

分类

电子信息工程

引用本文复制引用

吴悦阳,邵帅,刘宏伟..基于首值辅助相位测距的空间翻滚柱状目标多维特征参数估计方法[J].现代雷达,2025,47(10):19-31,13.

基金项目

雷达信号处理全国重点实验室基金资助项目(JKW202305) (JKW202305)

中国博士后科学基金资助项目(2022M722502) (2022M722502)

陕西省博士后资助基金资助项目(2023BSHYDZZ94) (2023BSHYDZZ94)

中央高校基本科研业务费资助项目(ZYTS25143) (ZYTS25143)

航空科学基金、微波成像全国重点实验室开放基金资助 ()

现代雷达

OA北大核心

1004-7859

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