NDLI: Extension of the Reed-Mallett-Brennan loss for application to stap with collected data

Content Provider	IEEE Xplore Digital Library
Author	Teixeira, C.M.
Copyright Year	2008
Description	Author affiliation: Northrop Grumman Corp., Linthicum, MD (Teixeira, C.M.)
Abstract	The post-processed signal-to-interference-plus-noise ratio (SINR) has emerged as a critical performance metric in the assessment of space-time adaptive processing (STAP) as applied to radar data collected from multidimensional arrays. In their seminal analysis, Reed, Mallett and Brennan analytically characterized the loss in SINR (ldquoRMB lossrdquo) realized due to the use of an estimate of the interference environment with a finite set of samples relative to the exact result under certain conditions. While providing several well-known ldquorules-of-thumbrdquo that allows the RMB loss to be incorporated into system level analysis, this original formulation can not generally be directly applied to collected radar data since it assumes knowledge of the exact interference covariance which typically is not available. In this paper, the RMB loss is extended to the practical situation where the exact covariance is not available, as with collected radar data. As a consequence, both the adaptive weight and residual interference-plus-noise power must be estimated in computing SINR. Three new approaches for accomplishing this are analyzed and compared in terms of their theoretically derived probability distribution functions, means and variances relative to each other as well as the original RMB loss result. The developed theory is extensively verified with simulation results. A key result is the need for two independent sets of training data to accurately compute the SINR when sample support is limited. New rules-of-thumb are suggested for the amount of training data needed from these two sets of data (i.e. two groups of local range data) to achieve an accurate assessment of SINR loss. This work provides new analytical tools that can be used to better understand the true SINR loss performance of STAP with collected radar data.
Starting Page	1684
Ending Page	1689
File Size	302612
Page Count	6
File Format	PDF
ISBN	9781424429400
ISSN	10586393
DOI	10.1109/ACSSC.2008.5074712
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal to noise ratio Interference Training data Signal processing Measurement Radar signal processing Spaceborne radar Multidimensional signal processing Adaptive arrays Analysis of variance
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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

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Extension of the Reed-Mallett-Brennan loss for application to stap with collected data

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