Home eBooks Download › space time adaptive matched field processing stamp

Space Time Adaptive Matched Field Processing Stamp

Download Space Time Adaptive Matched Field Processing Stamp PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Space Time Adaptive Matched Field Processing Stamp book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Space Time Adaptive Matched Field Processing Stamp

DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2001

Space Time Adaptive Matched Field Processing Stamp 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.

Space-time adaptive processing (STAP) is two-dimensional adaptive filter employed for the purpose of clutter cancellation to enable the detection of moving targets. It has been a major focus of research activity in radar applications for which the platform is in motion (e.g., airborne or space-based systems). In this setting, an antenna sensor array provides spatial discrimination, while a series of time returns or pulses form a synthetic array that provide Doppler (velocity) discrimination. The application of STAP for the mobile towed-array sonar system is non-trivial because of the complex multipaths in the underwater environment. On the other hand, Matched-field processing (MFP) that uses a propagation code to predict the complex multipath structure and coherently combines it to provide range/depth discrimination has been studied and demonstrated. MFP with a synthetic array (a series of snapshots) to estimate the source velocity and localize source in range and depth also has been demonstrated. STAMP combines the adjacent-filter beam space post-Doppler STAP and MFP to provide improved performance for the mobile multi-line-towed-array sonar applications. The processing scheme includes transforming phone time snapshots into frequency domain, at each frequency bin forming horizontal beams in the directions of interest for each towed line, then combining signals from multi-towed lines and adjacent Doppler bins and beams that cover the multi-path Doppler spread due to motion using adaptive MFP. A study of STAMP performance in the towed-array forward-looking problem is discussed. In this problem, the own-ship signal and its bottom-scattered energy can be treated as stationary interference with a moving target at constant speed within processing interval of a few minutes. (9 figures, 3 refs.).

Space Time Adative Matched Field Processing Stamp

DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1996

Space Time Adative Matched Field Processing Stamp written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.

Space-time adaptive processing (STAP) is two-dimensional adaptive filtering employed for the purpose of clutter cancellation to enable the detection of moving targets. It has been a major focus of research activity in radar applications for which the platform is in motion, e.g., airborne or space-based systems. In this setting, an antenna sensor array provides spatial discrimination, while a series of time returns or pulses form a synthetic array that provide Doppler (velocity) discrimination. The application of STAP for the mobile towed-array sonar system is non-trivial because of me complex multi-paths in the underwater environment. On the other hand, Matched-field processing (MFP) that uses a propagation code to predict the complex multi-path structure and coherently combines it to provide range/depth discrimination has been studied and demonstrated. MFP with a synthetic array (a series of snapshots) to estimate the source velocity and localize source in range and depth has also been demonstrated. STAMP combines the adjacent-filter beamspace post-Doppler STAP and MFP to provide improved performance for the mobile multi-line-towed-array sonar applications. The processing scheme includes: transforming phone time snapshots into frequency domain, at each frequency bin forming horizontal beams in the directions of interest for each towed line, then combining signals from multi-towed-lines and adjacent Doppler bins and beams that cover the multipath Doppler spread due to motion using adaptive MFP. A study of STAMP performance in the towed-array forward-looking problem will be discussed. In this problem, the own-ship signal and its bottom scattered energy can be treated as stationary interference with a moving target at constant speed within processing interval of a few minutes.

Applications Of Space Time Adaptive Processing

DOWNLOAD
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 Stap For Low Sample Support Applications

DOWNLOAD
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.