DocumentCode :
773218
Title :
MVDR vectorial lattice applied to space-time processing for AEW radar with large instantaneous bandwidth
Author :
Farina, A. ; Saverione, A. ; Timmoneri, L.
Author_Institution :
Syst. Area, Syst. Anal. & Sci. Calculus Group, Rome, Italy
Volume :
143
Issue :
1
fYear :
1996
fDate :
2/1/1996 12:00:00 AM
Firstpage :
41
Lastpage :
46
Abstract :
The problem of space-time processing is described for a generic airborne early warning radar with large instantaneous bandwidth. The mathematical models of target, clutter, directional EM interference, and receiver noise are introduced together with the scheme of the optimum detection processor. The performance of the processor is determined for a number of operational situations as a function of the radar and processor parameters; performance curves provide guidelines for the selection of the radar parameters. When the interference covariance matrix is not known a priori, the MVDR (minimum variance distortionless response) algorithm is applied to determine a numerically robust and efficient adaptive processor. This leads to a so-called vectorial lattice computational flow graph which can be mapped on to a fine grain parallel systolic computing architecture. The performance of the adaptive vectorial lattice scheme is compared to that of the optimum scheme to evaluate the adaptivity loss. A perspective to further theoretical and practical investigations concludes the paper
Keywords :
adaptive radar; adaptive signal processing; airborne radar; covariance matrices; radar clutter; radar detection; radar signal processing; AEW radar; MVDR vectorial lattice; airborne early warning radar; clutter; computational flow graph; directional EM interference; fine grain parallel systolic computing architecture; interference covariance matrix; large instantaneous bandwidth; minimum variance distortionless response; optimum detection processor; receiver noise; space-time processing;
fLanguage :
English
Journal_Title :
Radar, Sonar and Navigation, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2395
Type :
jour
DOI :
10.1049/ip-rsn:19960012
Filename :
487765
Link To Document :
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