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Space Time Adaptive Processing Stap For Low Sample Support Applications


Space Time Adaptive Processing Stap For Low Sample Support Applications
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Space Time Adaptive Processing Stap For Low Sample Support Applications


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.



Knowledge Based Control For Space Time Adaptive Processing


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.




Secondary Data Support And Non Homogeneities In Space Time Adaptive Processing


Secondary Data Support And Non Homogeneities In Space Time Adaptive Processing
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Author : Todd Benjamin Hale
language : en
Publisher:
Release Date : 1997-12-01

Secondary Data Support And Non Homogeneities In Space Time Adaptive Processing written by Todd Benjamin Hale and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-12-01 with Adaptive signal processing categories.


One of the primary problems with the application of Space-Time Adaptive Processing (STAP) techniques is secondary data support for the interference plus noise covariance matrix estimate. Reed has shown the required secondary data support to achieve performance within 3 dB of optimal SINR is approximately equal to twice the degrees of freedom (DOF) used in the algorithm. Reed proved this rule for Sample Matrix Inversion (SMI) techniques. A concern arises when applying this rule to a newer class of reduced dimension STAP algorithms that do not fall under the SMI umbrella. This thesis focuses on the Cross Spectral Metric (CSM) algorithm developed by Goldstein and Reed. Through Monte Carlo simulations, the thesis proves Reed's rule for sample support is not accurate in this case. Optimum SINR performance for the CSM algorithm was obtained by choosing the number of DOF in the algorithm equal to the dimension of the interference subspace. With this choice, the required sample support for the covariance matrix estimate is 2.5 times the DOF used in the algorithm. This relationship is only true when the number of DOF is equal to the interference subspace dimension. A second goal of the thesis determines the impact of non- homogeneities within the secondary data on the CSM algorithm. The Generalized Inner Product (GIP) detection scheme is then used to excise these non- homogeneities from the secondary data. The CSM algorithm was found to be susceptible to non-homogeneities. The use of the GIP successfully negated the impact on this algorithm.



Applications Of Space Time Adaptive Processing


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.



Rt Stap Real Time Space Time Adaptive Processing Benchmark


Rt Stap Real Time Space Time Adaptive Processing Benchmark
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Author : Kenneth C. Cain
language : en
Publisher:
Release Date : 1997

Rt Stap Real Time Space Time Adaptive Processing Benchmark written by Kenneth C. Cain 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.


This report provides a specification of the RT_STAP benchmark for evaluating the application of scalable high performance computers to the real-time implementation of space-time adaptive processing (STAP) techniques on embedded platforms. STAP is an adaptive processing technique used to support clutter and interference cancellation in airborne radars. The RT_STAP benchmark is an example of a compact application benchmark that uses a real time design-to-specification methodology. The scalability study outlined in the RT_STAP benchmark varies the sophistication and computational complexity of the adaptive algorithms to be implemented. The benchmark provides hard, medium, and easy benchmark cases based upon three post-Doppler adaptive processing algorithms: higher-order Doppler-factored STAP, first-order Doppler-factored STAP, and post-Doppler adaptive Displaced Phase Center Antenna (CDPCA).



Rt Stap Real Time Space Time Adaptive Processing Benchmark


Rt Stap Real Time Space Time Adaptive Processing Benchmark
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Author : Kenneth C. Cain
language : en
Publisher:
Release Date : 1997

Rt Stap Real Time Space Time Adaptive Processing Benchmark written by Kenneth C. Cain 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.




Algorithms Advances In Research And Application 2011 Edition


Algorithms Advances In Research And Application 2011 Edition
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Author :
language : en
Publisher: ScholarlyEditions
Release Date : 2012-01-09

Algorithms Advances In Research And Application 2011 Edition written by and has been published by ScholarlyEditions this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-09 with Computers categories.


Algorithms: Advances in Research and Application: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Algorithms. The editors have built Algorithms: Advances in Research and Application: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Algorithms in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Algorithms: Advances in Research and Application: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.



Knowledge Base Applications To Adative Space Time Processing Volume 2 Airborne Radar Filtering


Knowledge Base Applications To Adative Space Time Processing Volume 2 Airborne Radar Filtering
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Author :
language : en
Publisher:
Release Date : 2001

Knowledge Base Applications To Adative Space Time Processing Volume 2 Airborne Radar Filtering 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.


There are many variations of space-time adaptive processing (STAP) that have been proposed since as far back as the 1960s. Practically all of the variations can be grouped into eight general methods. These methods are described in this report. An interesting discussion on the relative merits of the methods and of STAP in general is also included. Contentions are backed up by results from applying STAP to measured data. The merits identified in this report are used later (Volume III) to derive rules for a knowledge-based space-time adaptive processing system.



Applications Of Space Time Adaptive Processing


Applications Of Space Time Adaptive Processing
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Author : Richard Klemm
language : en
Publisher: Univ. Press of Mississippi
Release Date : 2004-08-13

Applications Of Space Time Adaptive Processing written by Richard Klemm and has been published by Univ. Press of Mississippi 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.



Advanced Signal Processing


Advanced Signal Processing
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Author : Stergios Stergiopoulos
language : en
Publisher: CRC Press
Release Date : 2017-09-29

Advanced Signal Processing written by Stergios Stergiopoulos and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-29 with Technology & Engineering categories.


Discover the Applicability, Benefits, and Potential of New Technologies As advances in algorithms and computer technology have bolstered the digital signal processing capabilities of real-time sonar, radar, and non-invasive medical diagnostics systems, cutting-edge military and defense research has established conceptual similarities in these areas. Now civilian enterprises can use government innovations to facilitate optimal functionality of complex real-time systems. Advanced Signal Processing details a cost-efficient generic processing structure that exploits these commonalities to benefit commercial applications. Learn from a Renowned Defense Scientist, Researcher, and Innovator The author preserves the mathematical focus and key information from the first edition that provided invaluable coverage of topics including adaptive systems, advanced beamformers, and volume visualization methods in medicine. Integrating the best features of non-linear and conventional algorithms and explaining their application in PC-based architectures, this text contains new data on: Advances in biometrics, image segmentation, registration, and fusion techniques for 3D/4D ultrasound, CT, and MRI Fully digital 3D/ (4D: 3D+time) ultrasound system technology, computing architecture requirements, and relevant implementation issues State-of-the-art non-invasive medical procedures, non-destructive 3D tomography imaging and biometrics, and monitoring of vital signs Cardiac motion correction in multi-slice X-ray CT imaging Space-time adaptive processing and detection of targets interference-intense backgrounds comprised of clutter and jamming With its detailed explanation of adaptive, synthetic-aperture, and fusion-processing schemes with near-instantaneous convergence in 2-D and 3-D sensors (including planar, circular, cylindrical, and spherical arrays), the quality and illustration of this text’s concepts and techniques will make it a favored reference.