Results 121 to 130 of about 363 (153)
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On the benefits of space-time adaptive processing (STAP) in bistatic airborne radar
RADAR 2002, 2003This paper has examined the clutter angle-Doppler inter-relationships for bistatic airborne radar. It has been shown that there are significant differences between the monostatic and bistatic clutter rejection problems. In particular, it has been shown that bistatic airborne radar clutter exhibits the following characteristics: 1.
G.M. Herbert, P.G. Richardson
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A pragmatic approach to adaptive antennas and space-time adaptive processing (STAP)
2000 5th International Symposium on Antennas, Propagation, and EM Theory. ISAPE 2000 (IEEE Cat. No.00EX417), 2000Summary form only given. In the conventional adaptive beamforming methodology typically weights are connected to each one of the antenna element in the array and the processing information is generated over time, as the correlation matrix of the data needs to be formed.
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Robust space–time adaptive processing (STAP) in non-Gaussian clutter environments
IEE Proceedings - Radar, Sonar and Navigation, 1999The problem of space-time adaptive processing (STAP) in non-Gaussian clutter is addressed. First, it is shown that actual ground clutter returns are heavy-tailed and their statistics can be accurately characterised by means of alpha-stable distributions.
P. Tsakalides, C. L. Nikias
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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), 2004We 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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Space-Time Adaptive Processing (STAP) for Low Sample Support Applications
2004Abstract : Airborne radar Space-Time Adaptive Processing (STAP) in a heterogeneous, target-rich environment is addressed. An efficient Kalman Filter implementation of the normalized form of the Parametric Adaptive Matched Filter (NPAMF) is introduced and shown to perform well against a detailed simulation of a site-specific, dense-target environment ...
Ping Li, Harvey K. Schuman
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2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), 2012
This paper presents the modeling and partial FPGA implementation of Space Time Adaptive Processing (STAP) algorithm for Passive Bi-static Radar (PBR) using commercial FM transmitter as illuminator of opportunity. Two simulated targets were inserted in the real-time recorded FM eight channel data signal.
Zia Ul Mahmood +3 more
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This paper presents the modeling and partial FPGA implementation of Space Time Adaptive Processing (STAP) algorithm for Passive Bi-static Radar (PBR) using commercial FM transmitter as illuminator of opportunity. Two simulated targets were inserted in the real-time recorded FM eight channel data signal.
Zia Ul Mahmood +3 more
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Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154), 2002
The STAP of radar signets involves solving a set of linear equations /spl Lambda/w=s. Here /spl Lambda/ is the correlation matrix of noise plus interference signals, w is the weight vector and s is the steering vector. The Weiner solution to estimate the optimum weight vector w/sub 0/ for a given s that minimizes the effect of the interference signal ...
S. Kadambe, Y. Owechko
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The STAP of radar signets involves solving a set of linear equations /spl Lambda/w=s. Here /spl Lambda/ is the correlation matrix of noise plus interference signals, w is the weight vector and s is the steering vector. The Weiner solution to estimate the optimum weight vector w/sub 0/ for a given s that minimizes the effect of the interference signal ...
S. Kadambe, Y. Owechko
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Space-time adaptive processing (STAP) for wide-band airborne radar
Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037], 2002STAP is a technique used to reject clutter returns in airborne phased array radar systems. This paper presents an investigation of the performance of STAP in wideband scenarios. It is shown that, under these circumstances, narrowband STAP is often sufficient for clutter rejection with sideways looking arrays, but that a wideband STAP architecture is ...
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European Radar Conference, 2005. EURAD 2005., 2006
Space-time adaptive processing (STAP) is a technique used by moving radars to detect slow moving targets. The goal is to reject interference and noise. However, rejection requires a great number of training samples and a large computational cost. To keep the task manageable, suboptimum STAP methods (SOMs) have been proposed by several authors.
S. De Greve, F.D. Lapierre, J.G. Verly
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Space-time adaptive processing (STAP) is a technique used by moving radars to detect slow moving targets. The goal is to reject interference and noise. However, rejection requires a great number of training samples and a large computational cost. To keep the task manageable, suboptimum STAP methods (SOMs) have been proposed by several authors.
S. De Greve, F.D. Lapierre, J.G. Verly
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Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005., 2006
This paper deals with the problem of joint angle and Doppler estimation for STAP airborne radar in non-Gaussian clutter modeled as a complex symmetric alpha-stable (SfiS) process. We propose two recursive covariance estimation approaches based on a pre-processing stage, which are robust to the heavy-tailed clutter effect: we use the truncated data in ...
Mohamed Sahmoudi +3 more
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This paper deals with the problem of joint angle and Doppler estimation for STAP airborne radar in non-Gaussian clutter modeled as a complex symmetric alpha-stable (SfiS) process. We propose two recursive covariance estimation approaches based on a pre-processing stage, which are robust to the heavy-tailed clutter effect: we use the truncated data in ...
Mohamed Sahmoudi +3 more
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