NSF Org:	CCF Division of Computing and Communication Foundations
Recipient:	REGENTS OF THE UNIVERSITY OF MINNESOTA
Initial Amendment Date:	January 17, 1989
Latest Amendment Date:	January 24, 1991
Award Number:	8813204
Award Instrument:	Continuing Grant
Program Manager:	John Cozzens CCF  Division of Computing and Communication Foundations CSE  Directorate for Computer and Information Science and Engineering
Start Date:	January 15, 1989
End Date:	December 31, 1992 (Estimated)
Total Intended Award Amount:	$267,816.00
Total Awarded Amount to Date:	$267,816.00
Funds Obligated to Date:	FY 1989 = $98,907.00 FY 1990 = $81,433.00 FY 1991 = $87,476.00
History of Investigator:	Mostafa Kaveh (Principal Investigator) mos@umn.edu
Recipient Sponsored Research Office:	University of Minnesota-Twin Cities 2221 UNIVERSITY AVE SE STE 100 MINNEAPOLIS MN  US  55414-3074 (612)624-5599
Sponsor Congressional District:	05
Primary Place of Performance:	DATA NOT AVAILABLE
Primary Place of Performance Congressional District:
Unique Entity Identifier (UEI):	KABJZBBJ4B54
Parent UEI:
NSF Program(s):	SIGNAL PROCESSING SYS PROGRAM
Primary Program Source:
Program Reference Code(s):
Program Element Code(s):	472000
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.070

ABSTRACT

This research is focused in the area of wideband sensor array signal processing. The primary thrust of this phase is on the emphasis on the further development of the Coherent Signal-subspace Method with emphasis on real-time adaptive structures for wideband array focussing, integration of processors and the implementation of the adaptive algorithms on an ultrasonic array testbed. The intention is to fully explore the practical utility of the estimators that have been developed within the framework of hardware implementation. The theoretical investigation of the statistical properties of the proposed detectors and estimators is also being pursued. Dr. Kaveh continues to conduct high quality research and produce significant research results. Support is highly recommended.

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