DocumentCode :
632054
Title :
Quality measures for HRR alignment based ISAR imaging algorithms
Author :
Janse van Rensburg, Vanessa ; Mishra, Anadi ; Nel, W.
Author_Institution :
Radar & Electron. Warfare Syst., Defence, Peace, Safety & Security, Council for Sci. & Ind. Res., Pretoria, Council for Sci. & Ind. Res., Pretoria, South Africa
fYear :
2013
fDate :
April 29 2013-May 3 2013
Firstpage :
1
Lastpage :
4
Abstract :
Some Inverse Synthetic Aperture Radar (ISAR) algorithms form the image in a two-step process of range alignment and phase conjugation. This paper discusses a comprehensive set of measures used to quantify the quality of range alignment, with the aim of 1) reviewing their benefits and shortcomings and 2) comparing their relative performance. Some quality measures may favour particular alignment techniques without adequately indicating improved alignment, so using multiple quality measures provide an added means of verifying the alignment quality achieved by any alignment technique. The sensitivity of the quality measures to slight misalignment of profiles and the effects of noise is also investigated.
Keywords :
radar imaging; radar interferometry; synthetic aperture radar; HRR alignment based ISAR imaging algorithms; alignment quality; inverse synthetic aperture radar algorithms; noise effects; phase conjugation; quality measures; range alignment; Correlation; Entropy; Motion compensation; Radar imaging; Sea measurements; Sensitivity; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RADAR), 2013 IEEE
Conference_Location :
Ottawa, ON
ISSN :
1097-5659
Print_ISBN :
978-1-4673-5792-0
Type :
conf
DOI :
10.1109/RADAR.2013.6586071
Filename :
6586071
Link To Document :
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