NDLI: Parametric Clutter Rejection for Space-Time Adaptive Processing (2000)

Please wait, while we are loading the content...

Parametric Clutter Rejection for Space-Time Adaptive Processing (2000)

Content Provider	CiteSeerX
Author	Swindlehurst, A. Lee Parker, Peter
Abstract	Practical STAP implementations rely on reduced-dimension processing, using techniques such as principle components or partially adaptive filters. The dimension reduction not only decreases the computational load, it also reduces the sample support required for estimating the interference statistics. This results because the clutter covariance is implicitly assumed to possess a certain (nonparametric) structure. In this paper, we demonstrate how imposing a parametric structure on the clutter and jamming can lead to a further reduction in both computation and secondary sample support. Our approach, referred to as Space-Time AutoRegressive (STAR) filtering, is applied in two steps: First, a structured subspace orthogonal to that in which the clutter and interference reside is found; Second, a detector matched to this subspace is used to determine whether or not a target is present. Using a realistic simulated data set for circular array STAP, we demonstrate that this approach achieves significantly lower SINR loss with a computational load that is less than that required by the reduced-dimension PRI-staggered STAP method. The STAR algorithm also yields excellent performance with very small secondary sample support, a feature that is particularly attractive for circular array STAP where the clutter statistics are range dependent.
File Format	PDF
Publisher Date	2000-01-01
Access Restriction	Open
Subject Keyword	Parametric Clutter Rejection Space-time Adaptive Processing Circular Array Stap Computational Load Parametric Structure Adaptive Filter Reduced-dimension Processing Practical Stap Implementation Principle Component Reduced-dimension Pri-staggered Stap Method Sample Support Structured Subspace Clutter Covariance Sinr Loss Small Secondary Sample Support Star Algorithm Interference Statistic Interference Reside Secondary Sample Support Space-time Autoregressive Dimension Reduction Realistic Simulated Data Set Clutter Statistic Excellent Performance Range Dependent
Content Type	Text

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in