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...

Full description

Bibliographic Details
Main Authors: Lapierre Fabian D, Verly Jacques G
Format: Article
Language:English
Published: SpringerOpen 2005-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/ASP.2005.85
_version_ 1818514390570237952
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