Model Based Techniques For Space Time Adaptive Processing

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Model Based Techniques For Space Time Adaptive Processing

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Author : Vijay Varadarajan
language : en
Publisher:
Release Date : 2004

Model Based Techniques For Space Time Adaptive Processing written by Vijay Varadarajan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Array processors categories.

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 For Radar

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Author : J. R. Guerci
language : en
Publisher:
Release Date : 2015

Space Time Adaptive Processing For Radar written by J. R. Guerci and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Adaptive signal processing categories.

Based on a time-tested course taught in industry, government and academia, this book 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. --

Knowledge Based Control For Space Time Adaptive Processing

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Author : Michael C. Wicks
language : en
Publisher:
Release Date : 2006

Knowledge Based Control For Space Time Adaptive Processing written by Michael C. Wicks and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.

Knowledge Base Applications To Adaptive Space Time Processing Volume 6 Knowledge Based Space Time Adaptive Processing Kbstap User S Manual And Programmer S Manual

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Author :
language : en
Publisher:
Release Date : 2001

Knowledge Base Applications To Adaptive Space Time Processing Volume 6 Knowledge Based Space Time Adaptive Processing Kbstap User S Manual And Programmer S Manual written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.

This User's Manual is intended to be used as a guide for the execution of the Knowledge-Based Space-Time Adaptive Processing (KBSTAP) software. The software has been implemented as a proof-of-concept demonstration to illustrate the advantages of using expert systems techniques in an end-to-end radar system simulation. The software has been built to test the performance of radar systems when knowledge-based rules are applied to filtering, detection, and tracking. Multi-Channel Airborne Radar Measurement (MCARM) data is used as the basis for the evaluation process.

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.

An Overview Of Space Time Adaptive Processing For Radar

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Author :
language : en
Publisher:
Release Date : 2003

An Overview Of Space Time Adaptive Processing For Radar written by 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.

This paper provides a survey of space-time adaptive processing for radar target detection. Specifically, early work on adaptive array processing from the point of view of maximum signal-to-noise-ratio and minimum mean squared error perspectives are briefly reviewed for motivation. The sample matrix inversion method of Reed, Mallet and Brennan is discussed with attention devoted to its convergence properties. Variants of this approach such as the Kelly GLRT, adaptive matched filter and ACE tests are considered. Extensions to handle the case of non- Gaussian clutter statistics are presented. Current challenges of limited training data support, computational cost, and severely heterogeneous clutter backgrounds are outlined. Implementation and performance issues pertaining to reduced rank and model-based parametric approaches are presented.

Adaptive Radar Detection In The Presence Of Textured And Discrete Interference

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Author : Jeong Hwan Bang
language : en
Publisher:
Release Date : 2013

Adaptive Radar Detection In The Presence Of Textured And Discrete Interference written by Jeong Hwan Bang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Doppler effect categories.

Under a number of practical operating scenarios, traditional moving target indicator (MTI) systems inadequately suppress ground clutter in airborne radar systems. Due to the moving platform, the clutter gains a nonzero relative velocity and spreads the power across Doppler frequencies. This obfuscates slow-moving targets of interest near the "direct current" component of the spectrum. In response, space-time adaptive processing (STAP) techniques have been developed that simultaneously operate in the space and time dimensions for effective clutter cancellation. STAP algorithms commonly operate under the assumption of homogeneous clutter, where the returns are described by complex, white Gaussian distributions. Empirical evidence shows that this assumption is invalid for many radar systems of interest, including high-resolution radar and radars operating at low grazing angles. We are interested in these heterogeneous cases, i.e., cases when the Gaussian model no longer suffices. Hence, the development of reliable STAP algorithms for real systems depends on the accuracy of the heterogeneous clutter models. The clutter of interest in this work includes heterogeneous texture clutter and point clutter. We have developed a cell-based clutter model (CCM) that provides simple, yet faithful means to simulate clutter scenarios for algorithm testing. The scene generated by the CMM can be tuned with two parameters, essentially describing the spikiness of the clutter scene. In one extreme, the texture resembles point clutter, generating strong returns from localized range-azimuth bins. On the other hand, our model can also simulate a flat, homogeneous environment. We prove the importance of model-based STAP techniques, namely knowledge-aided parametric covariance estimation (KAPE), in filtering a gamut of heterogeneous texture scenes. We demonstrate that the efficacy of KAPE does not diminish in the presence of typical spiky clutter. Computational complexities and susceptibility to modeling errors prohibit the use of KAPE in real systems. The computational complexity is a major concern, as the standard KAPE algorithm requires the inversion of an MNxMN matrix for each range bin, where M and N are the number of array elements and the number of pulses of the radar system, respectively. We developed a Gram Schmidt (GS) KAPE method that circumvents the need of a direct inversion and reduces the number of required power estimates. Another unavoidable concern is the performance degradations arising from uncalibrated array errors. This problem is exacerbated in KAPE, as it is a model-based technique; mismatched element amplitudes and phase errors amount to a modeling mismatch. We have developed the power-ridge aligning (PRA) calibration technique, a novel iterative gradient descent algorithm that outperforms current methods. We demonstrate the vast improvements attained using a combination of GS KAPE and PRA over the standard KAPE algorithm under various clutter scenarios in the presence of array errors.