Results 221 to 230 of about 126,307 (254)

Space-Time Adaptive Processing

2004
This chapter considers a radar with an antenna consisting of several subapertures, or antenna elements; the echoes received by each subaperture are processed using the adaptive matched filter. Such a radar is capable of a certain degree of suppression of jammers, as well as (for an airborne radar) more effective endoclutter MTI. A single-aperture radar
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Robust adaptive subspace detectors for space time processing

Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 2002
We consider the problem of detecting a subspace signal when there is uncertainty in the subspace. Such uncertainty usually causes a mismatch between the detector and the signal to be detected, which may lead to significant loss in performance. To improve the robustness of the detection procedure we apply robust adaptive subspace detectors based on ...
Ariela Zeira, Benjamin Friedlander
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Space-time adaptive processing on the Mesh Synchronous Processor

Proceedings of International Conference on Parallel Processing, 2002
This paper presents an assessment of the applicability of the Mesh Synchronous Processor (MeshSP) architecture to a class of radar signal processing algorithms known as space-time adaptive processing (STAP). The MeshSP is a SIMD processor developed at MIT Lincoln Laboratory and marketed by Integrated Computing Engines, Inc. A high-level overview of the
Janice S. McMahon, Ken Teitelbaum
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Reduced rank space-time adaptive radar processing

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
This paper is concerned with the performance of reduced rank space-time adaptive processing (STAP) for radar signals. The motivation for rank reduction is that optimal full-rank STAP requires many more weights than can be supported on airborne and space-segment platforms.
J. Scott Goldstein, Peter A. Zulch, Irving S. Reed   +2 more
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Structured covariance estimation for space-time adaptive processing

1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002
Adaptive algorithms require a good estimate of the interference covariance matrix. In situations with limited sample support such an estimate is not available unless there is structure to be exploited. In applications such as radar space-time adaptive processing (STAP) the underlying covariance matrix is structured (e.g., block Toeplitz), and it is ...
Timothy A. Barton, Steven Thomas Smith
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Server-class devices for Space Time Adaptive Processing

2018 IEEE High Performance extreme Computing Conference (HPEC), 2018
Space-Time Adaptive Processing (STAP) is known to efficiently reduce the effects of clutter and jamming. Computing the adaptive weights in real-time is an intensive process; computational burden can be reduced by selecting computations most suitable for the processing technology.
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Space-Time Adaptive Processing and Jamming

2018
Space-time adaptive processing (STAP) has been a well-established technique, whose basic concept and theory are first put forward by Brennan and Reed. However, it is difficult to implement in the practical system because of the computational complexity and the sample limitation for estimating the clutter covariance matrix.
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Space-Time Adaptive Processing for Radar

2014
Abstract Space-time adaptive processing (STAP) is an important radar technology. It is a cornerstone in the design of modern moving target indication and imaging radar systems. Specifically, STAP is a multidimensional filtering technique that mitigates the influence of clutter or radio frequency interference on principal radar products, viz.
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Space-time adaptive processing and adaptive arrays: special collection of papers

IEEE Transactions on Aerospace and Electronic Systems, 2000
Space-time adaptive processing (STAP) and related adaptive array techniques hold tremendous potential for improving sensor performance by exploiting signal diversity. Such methods have important application in radar, sonar, and communication systems. Recent advances in digital signal processing technology now provide the computational means to field ...
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CQCNN-SV algorithm for wideband space–time adaptive processing

Multidimensional Systems and Signal Processing
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ruiyan Du, Xiaodan Chen, Guangyu Meng, Liwen Feng, Yajie Gao, Fulai Liu   +5 more
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