Research on Interpulse Frequency Agility SAR Imaging via Compressed Sensing

LIU Tian-peng; LIU Zhen; WEI Xi-zhang

doi:10.3969/j.issn.0372-2112.2012.06.001

您当前的位置：

首页 >

文章列表页 >

Research on Interpulse Frequency Agility SAR Imaging via Compressed Sensing

更新时间：2025-07-16

- Research on Interpulse Frequency Agility SAR Imaging via Compressed Sensing
- Acta Electronica Sinica Vol. 40, Issue 6, Pages: 1073-1078(2012)
- 作者机构：
  
  国防科技大学空间电子信息技术研究所,湖南,长沙,410073
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China for Distinguished Young Schoolars (No.61025006);Postgraduate Innovation Fund of Hunan Province (No.CX2011B019);Excellent Postgraduate Student Innovation Fund of National University of Defense Technology (No.B110404)
- DOI：10.3969/j.issn.0372-2112.2012.06.001
  CLC： TN957.52
- Published：2012
- 稿件说明：
移动端阅览
LIU Tian-peng, LIU Zhen, WEI Xi-zhang. Research on Interpulse Frequency Agility SAR Imaging via Compressed Sensing[J]. Acta Electronica Sinica, 2012, 40(6): 1073-1078.
DOI：

LIU Tian-peng, LIU Zhen, WEI Xi-zhang. Research on Interpulse Frequency Agility SAR Imaging via Compressed Sensing[J]. Acta Electronica Sinica, 2012, 40(6): 1073-1078. DOI： 10.3969/j.issn.0372-2112.2012.06.001.

摘要

捷变频技术应用到合成孔径雷达系统中会存在多普勒调频率捷变、方位向无法压缩等问题.在分析捷变频SAR回波相位特性的基础上

本文研究了传统的相关法在方位压缩中的应用;针对相关法效率低、旁瓣高等固有缺陷

考虑到回波信号的稀疏性

提出了基于压缩感知的方位压缩算法

并形成了一种距离压缩采用匹配滤波、方位压缩采用压缩感知的捷变频SAR二维成像方案.仿真实验表明

该方案能克服多普勒调频率捷变等问题

实现捷变频SAR二维成像

并具有低旁瓣、高分辨等优点.

Abstract

When carrier frequency agility is applied to SAR system

there could be some problems

such as Doppler chirp rate agility

focus-out in azimuth

etc.After we analyzed the phase characteristic of radar echo

correlation algorithm was applied to pulse compression in azimuth firstly.Considering the connatural problems of low efficiency and high side lobe level that correlation algorithm had

pulse compression algorithm based on compressed sensing was presented

which made use of the sparsity of echo signals.Then

a strategy about frequency agility SAR imaging was proposed which involves pulse compression in range based on matching filter and pulse compression in azimuth based on compressed sensing.The results indicate that imaging strategy can both conquer Doppler chirp rate agility and achieve frequency agility SAR imaging

which has the merit of lower side lobe level and higher resolution.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Learnable Threshold Optimization for Massive Dynamic Multi-User Access Detection

Research on High Precision Ranging and Positioning Based on GFDM Signal for B5G/6G

Target Recognition Technology Based on a New Joint Sensing Matrix for Compressed Learning

Sparse Representation Theory and Application in Underwater Acoustic Signal Processing

Weakly Matching Pursuit Denoising Recovery for Compressed Sensing Based on Kalman Filtering

Related Author

SHI Chang-wei

GUO Li-ting

KANG Peng

DU Wei-qing

CHEN Ping-ping

FANG Yi

SU Lin-lin

CHEN Liang

Related Institution

School of Physics and Information Engineering, Fuzhou University

School of Information Engineering, Guangdong University of Technology

State key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University

Qian Xuesen Laboratory of Space Technology

China Academy of Space Technology

⁰