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Range dependent clutter rejection using range-recursive space-time adaptive processing (STAP) algorithms

Signal Processing, 2010
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Sophie Beau, Sylvie Marcos
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Space-time adaptive processing (STAP) with limited sample support

Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509), 2004
A particularly active area of research in space-time adaptive processing (STAP) involves scenarios in which the sample support available for training the adaptive processor is limited. Several of these scenarios are of significant current interest.
null Ping Li, H. Schuman, J.H. Micheis, B. Himed   +3 more
openaire   +3 more sources

Analytical expressions for space-time adaptive processing (STAP) performance

IEEE Transactions on Aerospace and Electronic Systems, 2015
Space-time adaptive processing (STAP) is a family of algorithms frequently employed in surface moving target indication radar systems to enable detection of moving objects in the presence of fixed (i.e., nonmoving) clutter. In this paper, two new closed-form expressions that quantify the loss associated with the STAP notch centered on clutter are ...
Louis B. Fertig
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Framework and Taxonomy for Radar Space-Time Adaptive Processing (STAP) Methods

IEEE Transactions on Aerospace and Electronic Systems, 2007
The goal of radar space-time adaptive processing (STAP) is to detect slow moving targets from a moving platform, typically airborne or spaceborne. STAP generally requires the estimation and the inversion of an interference-plus-noise (I+N) covariance matrix.
Sebastien Greve, Philippe Ries, Fabian Lapierre, Jacques Verly   +3 more
openaire   +3 more sources

A deterministic least-squares approach to space-time adaptive processing (STAP)

IEEE Transactions on Antennas and Propagation, 2001
A direct data domain (D/sup 3/) least-squares space-time adaptive processing (STAP) approach is presented for adaptively enhancing signals in a nonhomogeneous environment. The nonhomogeneous environment may consist of nonstationary clutter and could include blinking jammers.
Sarkar, Tapan Kumar, Wang, Hong, Park, Sheeyun, Adve, Raviraj, Koh, Jinwan, Kim, Kyungjung, Zhang, Yuhong, Wicks, Michael C., Brown, Russell D.   +8 more
openaire   +3 more sources

Performance modeling and optimization framework for space-time adaptive processing (STAP)

18th International Parallel and Distributed Processing Symposium, 2004. Proceedings., 2004
Summary form only given. Fully-adaptive space-time adaptive processing (STAP) is an optimal but impractical radar processing algorithm due to the overwhelming number of operations required. Hence, many different heuristic approaches are sought to approximate the optimal method with fewer number of operations.
Kyusoon Lee, Adam W. Bojanczyk
openaire   +3 more sources

Range-recursive space-time adaptive processing (STAP) with a circular airborne radar antenna

2008 IEEE Radar Conference, 2008
In this paper, space-time adaptive processing (STAP) for clutter rejection in airborne radar is considered using a uniform circular antenna array. Indeed, this technique is usually employed in case of a uniform linear antenna array while the advantages of a circular antenna were recently highlighted [2]. Our contribution is two fold.
Sophie Beau, Sylvie Marcos
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Canonical framework for describing suboptimum radar space-time adaptive processing (STAP) techniques

Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509), 2004
We address the problem of detecting slow moving targets from a moving radar system using space-time adaptive processing (STAP) techniques. Optimum interference rejection is known to require the estimation and the subsequent inversion of an interference-plus-noise covariance matrix. To reduce the number of training samples involved in the estimation and
S. De Greve, F.D. Lapierre, J.G. Verly
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A comparison study between Wiener and adaptive state estimation (STAP-ASE) algorithms for space time adaptive radar processing

SPIE Proceedings, 2010
Space Time Adaptive Processing (STAP) is a multi-dimensional adaptive signal processing technique, which processes the signal in spatial and Doppler domains for which a target detection hypothesis is to be formed. It is a sample based technique and based on the assumption of adequate number of Independent and Identically Distributed (i.i.d ...
Obaidul Malek, Anastasios Venetsanopoulos, Alagan Anpalagan   +2 more
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Enhanced Knowledge Aided Space-Time Adaptive Processing (KA-STAP) Applying the Slepian Transform

2022 IEEE International Symposium on Phased Array Systems & Technology (PAST), 2022
Daniel Hebert, Dimitrius Cugini, Nguyen Nguyen, Lisa Osadciw   +3 more
openaire   +3 more sources