Registration-Based Range-Dependence Compensation for Bistatic STAP Radars
<p/> <p>We address the problem of detecting slow-moving targets using space-time adaptive processing (STAP) radar. Determining the optimum weights at each range requires data snapshots at neighboring ranges. However, in virtually all configurations, snapshot statistics are range dependen...
Main Authors: | , |
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Format: | Article |
Language: | English |
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SpringerOpen
2005-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1155/ASP.2005.85 |
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author | Lapierre Fabian D Verly Jacques G |
author_facet | Lapierre Fabian D Verly Jacques G |
author_sort | Lapierre Fabian D |
collection | DOAJ |
description | <p/> <p>We address the problem of detecting slow-moving targets using space-time adaptive processing (STAP) radar. Determining the optimum weights at each range requires data snapshots at neighboring ranges. However, in virtually all configurations, snapshot statistics are range dependent, meaning that snapshots are nonstationary with respect to range. This results in poor performance. In this paper, we propose a new compensation method based on registration of clutter ridges and designed to work on a single realization of the stochastic snapshot at each range. The method has been successfully tested on simulated, stochastic snapshots. An evaluation of performance is presented.</p> |
first_indexed | 2024-12-11T00:15:05Z |
format | Article |
id | doaj.art-1bb185a7118c4f2abd9bd2a590941474 |
institution | Directory Open Access Journal |
issn | 1687-6172 1687-6180 |
language | English |
last_indexed | 2024-12-11T00:15:05Z |
publishDate | 2005-01-01 |
publisher | SpringerOpen |
record_format | Article |
series | EURASIP Journal on Advances in Signal Processing |
spelling | doaj.art-1bb185a7118c4f2abd9bd2a5909414742022-12-22T01:28:00ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802005-01-0120051353047Registration-Based Range-Dependence Compensation for Bistatic STAP RadarsLapierre Fabian DVerly Jacques G<p/> <p>We address the problem of detecting slow-moving targets using space-time adaptive processing (STAP) radar. Determining the optimum weights at each range requires data snapshots at neighboring ranges. However, in virtually all configurations, snapshot statistics are range dependent, meaning that snapshots are nonstationary with respect to range. This results in poor performance. In this paper, we propose a new compensation method based on registration of clutter ridges and designed to work on a single realization of the stochastic snapshot at each range. The method has been successfully tested on simulated, stochastic snapshots. An evaluation of performance is presented.</p>http://dx.doi.org/10.1155/ASP.2005.85radarbistaticspace-time adaptive processingrange-dependence compensationdirection-Doppler curves |
spellingShingle | Lapierre Fabian D Verly Jacques G Registration-Based Range-Dependence Compensation for Bistatic STAP Radars EURASIP Journal on Advances in Signal Processing radar bistatic space-time adaptive processing range-dependence compensation direction-Doppler curves |
title | Registration-Based Range-Dependence Compensation for Bistatic STAP Radars |
title_full | Registration-Based Range-Dependence Compensation for Bistatic STAP Radars |
title_fullStr | Registration-Based Range-Dependence Compensation for Bistatic STAP Radars |
title_full_unstemmed | Registration-Based Range-Dependence Compensation for Bistatic STAP Radars |
title_short | Registration-Based Range-Dependence Compensation for Bistatic STAP Radars |
title_sort | registration based range dependence compensation for bistatic stap radars |
topic | radar bistatic space-time adaptive processing range-dependence compensation direction-Doppler curves |
url | http://dx.doi.org/10.1155/ASP.2005.85 |
work_keys_str_mv | AT lapierrefabiand registrationbasedrangedependencecompensationforbistaticstapradars AT verlyjacquesg registrationbasedrangedependencecompensationforbistaticstapradars |