A comparison of SAR imaging performance between matching filter and compressed sensing

Gang Wang; Ze Yu; Peng Xiao

A comparison of SAR imaging performance between matching filter and compressed sensing

Gang Wang
, Ze Yu
, Peng Xiao

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper is devoted to propose some new efficient indicators in comparison of synthetic aperture radar (SAR) imagine performance between matching filter (MF) and compressed sensing (CS). Generally, SAR utilizes matched filtering (MF) technique to improve resolution, whereas CS is a newly developed technology for sparse or compressible signal which can be applied to SAR imaging to achieve super-resolution images. Based on the theory derivation, the paper compares CS with MF in several aspects, such as resolution and SNR, several new indicators were also given to evaluate imaging performance because of new features caused by CS processing, such as microscopic and macroscopic resolution and group spread function (GSF). The comparison results are discussed and verified by data simulation.

Original language	English
Title of host publication	PIERS 2015 Prague - Progress In Electromagnetics Research Symposium, Proceedings
Publisher	Electromagnetics Academy
Pages	2119-2123
Number of pages	5
ISBN (Electronic)	9781934142301
State	Published - 2015

Publication series

Name	Progress in Electromagnetics Research Symposium
Volume	2015-January
ISSN (Print)	1559-9450
ISSN (Electronic)	1931-7360

Cite this

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title = "A comparison of SAR imaging performance between matching filter and compressed sensing",

abstract = "This paper is devoted to propose some new efficient indicators in comparison of synthetic aperture radar (SAR) imagine performance between matching filter (MF) and compressed sensing (CS). Generally, SAR utilizes matched filtering (MF) technique to improve resolution, whereas CS is a newly developed technology for sparse or compressible signal which can be applied to SAR imaging to achieve super-resolution images. Based on the theory derivation, the paper compares CS with MF in several aspects, such as resolution and SNR, several new indicators were also given to evaluate imaging performance because of new features caused by CS processing, such as microscopic and macroscopic resolution and group spread function (GSF). The comparison results are discussed and verified by data simulation.",

author = "Gang Wang and Ze Yu and Peng Xiao",

year = "2015",

language = "英语",

series = "Progress in Electromagnetics Research Symposium",

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A comparison of SAR imaging performance between matching filter and compressed sensing. / Wang, Gang ; Yu, Ze; Xiao, Peng.
PIERS 2015 Prague - Progress In Electromagnetics Research Symposium, Proceedings. Electromagnetics Academy, 2015. p. 2119-2123 (Progress in Electromagnetics Research Symposium; Vol. 2015-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper is devoted to propose some new efficient indicators in comparison of synthetic aperture radar (SAR) imagine performance between matching filter (MF) and compressed sensing (CS). Generally, SAR utilizes matched filtering (MF) technique to improve resolution, whereas CS is a newly developed technology for sparse or compressible signal which can be applied to SAR imaging to achieve super-resolution images. Based on the theory derivation, the paper compares CS with MF in several aspects, such as resolution and SNR, several new indicators were also given to evaluate imaging performance because of new features caused by CS processing, such as microscopic and macroscopic resolution and group spread function (GSF). The comparison results are discussed and verified by data simulation.

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A comparison of SAR imaging performance between matching filter and compressed sensing

Abstract

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