An improved scatter selection method for phase gradient autofocus algorithm in SAR/ISAR autofocus

Tuo Fu*, Meiguo Gao, Yuan He

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Citations (Scopus)

Abstract

The phase gradient autofocus (PGA) is a state of art technique for phase error correction of synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR). It exploits the redundancy of phase error information among range bins by selecting the strongest scatter for each range bin and then synthesizes them. The motivation of this paper is based on the observation that the redundancy of phase error information is also among the cross-range (azimuth) direction in the image domain. A new scatter selection scheme is proposed to better utilize the phase error information contained in the image. The validity of our new prominent scatters selection method for PGA algorithm is theoretically analyzed and tested with some numeral simulation. It shows that a faster convergence speed can be obtained by our new method.

Original languageEnglish
Title of host publicationProceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Pages1054-1057
Number of pages4
DOIs
Publication statusPublished - 2003
Event2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China
Duration: 14 Dec 200317 Dec 2003

Publication series

NameProceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Volume2

Conference

Conference2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Country/TerritoryChina
CityNanjing
Period14/12/0317/12/03

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