Results 171 to 180 of about 939 (214)

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

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
openaire   +3 more sources

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
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Analytical approximations for Space-Time Adaptive Processing (STAP) performance

2014 IEEE Radar Conference, 2014
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GPU-based space-time adaptive processing (STAP) for radar

2013 IEEE High Performance Extreme Computing Conference (HPEC), 2013
Space-time adaptive processing (STAP) utilizes a two-dimensional adaptive filter to detect targets within a radar data set with speeds similar to the background clutter. While adaptively optimal solutions exist, they are prohibitively computationally intensive.
Thomas M. Benson, Ryan K. Hersey, Edwin Culpepper   +2 more
openaire   +1 more source

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   +1 more source

Partially Adaptive STAP Algorithm Approaches to Functional MRI

IEEE Transactions on Biomedical Engineering, 2009
In this work, the architectures of three partially adaptive STAP algorithms are introduced, one of which is explored in detail, that reduce dimensionality and improve tractability over fully adaptive STAP when used in construction of brain activation ...
Elizabeth A Thompson, Scott K Holland
exaly   +2 more sources

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   +1 more source