Title :
Adaptive WEighting of Signals via One Matrix Entity (AWESOME)
Author :
Xie, Yao ; Li, Jian ; Ward, James
Author_Institution :
Florida Univ., Gainesville
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;
Conference_Titel :
Radar Conference, 2007 IEEE
Conference_Location :
Boston, MA
Print_ISBN :
1-4244-0284-0
Electronic_ISBN :
1097-5659
DOI :
10.1109/RADAR.2007.374304