DocumentCode
2885540
Title
Adaptive WEighting of Signals via One Matrix Entity (AWESOME)
Author
Xie, Yao ; Li, Jian ; Ward, James
Author_Institution
Florida Univ., Gainesville
fYear
2007
fDate
17-20 April 2007
Firstpage
699
Lastpage
705
Abstract
We present the Adaptive WEighting of Signals via One Matrix Entity (AWESOME) algorithm for adaptive array beampattern synthesis. The array geometry can be arbitrary. Compared to the conventional approaches of using data-adaptive weight vectors at the array output for beampattern synthesis, which we refer to as the Vector Weighting Approaches (VWA), weight matrices are used at the array output by AWESOME for much improved flexibility for adaptive array beampattern synthesis. Globally optimal solutions can be determined efficiently for AWESOME due to the convex optimization formulations. AWESOME can be considered as the Semidefinite Relaxation (SDR) of the VWA counterpart. Numerical examples are presented to show that AWESOME allows for strict controls of main-beam shape and peak sidelobe level while retaining the capability of adaptive nulling of strong interferences and jammers.
Keywords
array signal processing; matrix algebra; adaptive array beampattern synthesis; convex optimization formulations; interferences; jammers; one matrix entity algorithm; semidefinite relaxation; signal adaptive weighting; vector weighting approaches; weight matrices; Adaptive arrays; Adaptive control; Design optimization; Geometry; Interference; Programmable control; Sensor arrays; Shape control; Signal design; Signal synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2007 IEEE
Conference_Location
Boston, MA
ISSN
1097-5659
Print_ISBN
1-4244-0284-0
Electronic_ISBN
1097-5659
Type
conf
DOI
10.1109/RADAR.2007.374304
Filename
4250398
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