Space Time Adaptive Processing

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Principles Of Space Time Adaptive Processing

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Author : Richard Klemm
language : en
Publisher: IET
Release Date : 2006-11-28

Principles Of Space Time Adaptive Processing written by Richard Klemm and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-28 with Technology & Engineering categories.

This book presents a systematic introduction to airborne MTI (moving target indication) system design for use in the fields of earth observation, surveillance and reconnaissance, with particular regard to the suppression of clutter returns. New developments in the field and special aspects of airborne MTI radar are also covered.

Space Time Adaptive Processing For Radar Second Edition

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Author : J.R. Guerci
language : en
Publisher: Artech House
Release Date : 2014-11-01

Space Time Adaptive Processing For Radar Second Edition written by J.R. Guerci and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-01 with Technology & Engineering categories.

Space-time adaptive processing (STAP) is an exciting technology for advanced radar systems that allows for significant performance enhancements over conventional approaches. Based on a time-tested course taught in industry, government and academia, this second edition reviews basic STAP concepts and methods, placing emphasis on implementation in real-world systems. It addresses the needs of radar engineers who are seeking to apply effective STAP techniques to their systems, and serves as an excellent reference for non-radar specialists with an interest in the signal processing applications of STAP. Engineers find the analysis tools they need to assess the impact of STAP on a variety of important radar applications. A toolkit of STAP algorithms and implementation techniques allows practitioners the flexibility of adapting the best methods to their application. In addition, this second edition adds brand new coverage on “STAP on Transmit” and “Knowledge-Aided STAP (KA-STAP).

Applications Of Space Time Adaptive Processing

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Author : Richard Klemm
language : en
Publisher: IET
Release Date : 2004-08-13

Applications Of Space Time Adaptive Processing written by Richard Klemm and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-13 with Technology & Engineering categories.

This text discusses various applications of space-time adaptive processing, including applications in OTH-radar, ground target tracking, STAP in real world clutter environments, jammer cancellation, superresolution, active sonar, seismics and communications. It is divided into two parts: the first dealing with the classical adaptive suppression of airborne and spacebased radar clutter, and the second comprising of miscellaneous applications in other fields such as communications, underwater sound and seismics.

Space Time Adaptive Processing

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Author : Richard Klemm
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1998

Space Time Adaptive Processing written by Richard Klemm and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Philosophy categories.

This is a systematic introduction to airborne MTI radar design in use in the fields of earth observation, surveillance and reconnaissance, with particular regard to the suppression of clutter returns. It explores signal processing techniques, jamming and system applications, including sonar.

Knowledge Based Space Time Adaptive Processing

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Author : Geeta Seth
language : en
Publisher:
Release Date : 2003

Knowledge Based Space Time Adaptive Processing written by Geeta Seth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.

Software Tools For Parallel Space Time Adaptive Processing

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Author : Kyusoon Lee
language : en
Publisher:
Release Date : 2003

Software Tools For Parallel Space Time Adaptive Processing written by Kyusoon Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.

Portable Parallel Subroutines For Space Time Adaptive Processing

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Author : James Michael Lebak
language : en
Publisher:
Release Date : 1997

Portable Parallel Subroutines For Space Time Adaptive Processing written by James Michael Lebak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Adaptive signal processing categories.

The goal of this research is to design a library of subroutines to allow easy implementation of parallel methods for space-time adaptive processing. The library should allow the designer to experiment with different signal processing methods, different parallel algorithms for those methods, and different parallel machines, in order to determine the best configuration for a particular radar processing scenario.

2007 5th International Symposium On Intelligent Systems Informatics

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Author : Institute of Electrical and Electronics Engineers
language : en
Publisher:
Release Date : 2007

2007 5th International Symposium On Intelligent Systems Informatics written by Institute of Electrical and Electronics Engineers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.

Space Time Adaptive Processing Stap For Low Sample Support Applications

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Author :
language : en
Publisher:
Release Date : 2004

Space Time Adaptive Processing Stap For Low Sample Support Applications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.

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, Ground Moving Target Indication (GMTI) scenario. The number of secondary data range cells in a Coherent Processing Interval (CPI) required by NPAMF is much smaller than the product of spatial channels and pulses and, thus, NPAMF is attractive for low sample support applications. Other promising methods for low sample support applications are introduced and studied, as well. These include a Generalized Likelihood Ratio Test (GLRT)-based PAMF (ParaGLRT) shown to perform about as well as the matched filter when used in combination with Multiple Pass Processing (MPP), Sub-OP I Smoothing and a GLRT variant called Severely Non homogeneous Interference Processing (SNIP). These methods are shown also to perform much better than conventional STAP methods such as Joint Domain Localized (JDL). An optimized variant of MPP called T-SNIP (the "T" is for "target-rich environment") is introduced, as well. Beam space variants of the above methods also are evaluated and found to require less processing time than element space counterparts while performing at least as well.

Learning Based Space Time Adaptive Processing

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Author : Alaa El Khatib
language : en
Publisher:
Release Date : 2013

Learning Based Space Time Adaptive Processing written by Alaa El Khatib and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Adaptive signal processing categories.

"The probability of target detection in airborne-radar missions depends on the target signal-to-interference-plus-noise ratio. In order to maximize the probability of detection, it is necessary to maximize the target signal-to-interference-plus-noise ratio by suppressing the interference to an acceptable level. The type of interference encountered by airborne radars is of a distinctive nature; it spreads in both the spatial and the temporal dimensions, exhibiting a relationship between the amount of Doppler shift in the temporal dimension and the spatial direction of the echo source. In practical situations, the characteristics of the interference present are not known a priori; thus, they have to be estimated in real-time. The two-dimensional nature of the unknown interference dictates the use of two-dimensional adaptive filters to suppress it. Such filters are called space-time adaptive filters. In practical situations, the amount of secondary training data needed to accurately compute the space-time adaptive filter weights is not available. Thus, it is necessary to develop algorithms that are able to suppress the unknown interference with limited amounts of training data. Many such algorithms have been developed over the past few decades, each with its own advantages and drawbacks. In this report, a new algorithm called 'learning-based space-time adaptive processing' is proposed."--Abstract.