SRMF-CLEAN Imaging Algorithm for Space Debris

WANG Qi; XING Meng-dao; ZHOU Feng; BAO Zheng

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SRMF-CLEAN Imaging Algorithm for Space Debris

更新时间：2025-07-16

- SRMF-CLEAN Imaging Algorithm for Space Debris
- Acta Electronica Sinica Vol. 35, Issue 12, Pages: 2412-2416(2007)
- 作者机构：
  
  西安电子科技大学雷达信号处理重点实验室,陕西,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957
- Published：2007
- 稿件说明：
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WANG Qi, XING Meng-dao, ZHOU Feng, et al. SRMF-CLEAN Imaging Algorithm for Space Debris[J]. Acta Electronica Sinica, 2007, 35(12): 2412-2416.
DOI：

WANG Qi, XING Meng-dao, ZHOU Feng, et al. SRMF-CLEAN Imaging Algorithm for Space Debris[J]. Acta Electronica Sinica, 2007, 35(12): 2412-2416. DOI：

摘要

提出一种空间碎片SRMF-CLEAN成像算法.该算法成功地将太空碎片运动的先验知识纳入到雷达成像过程之内

成像中利用单距离匹配滤波(Single Range Matching Filtering

简称SRMF)快速算法有效提高了分辨率与成像速度

并采用点扩展函数参数化模型

通过修正CLEAN算法抑制点扩展函数扰动的影响.二者结合

有效地实现了太空碎片高分辨成像.理论推导和仿真结果验证了该方法的有效性.

Abstract

A SRMF-CLEAN algorithm for space debris is proposed.The proposed algorithm can successfully incorporate prior information of space debris movement into imaging process.Together with single-range matching filtering (SRMF) fast algorithm

it can improve the resolution and imaging speed effectively.For point spread function parameterization model is used in the algorithm

the effect of point spread function disturbance can be inhibited by correcting CLEAN algorithm.Combination of the two algorithms can realize high resolution imaging for space debris effectively.Theoretic derivation and simulation result verify validness of this algorithm.

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