Title :
Noise-subspace-approached adaptive beamformer using systolic array based on Givens rotation
Author :
Shun-Hsyung Chang ; Kuang-Chih Huang ; Chun-Yen Chuang
Author_Institution :
Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Abstract :
A noise-subspace-based adaptive beamformer is modified by introducing the triangular systolic array (TSA). A set of TSAs is used to derive the least-squares problem, thus eliminating the need to compute the least-squares weight vector. This modified structure is advantageous in that it requires only limited input data to accurately describe the external environment. Computer simulation results are presented.<>
Keywords :
antenna phased arrays; antenna radiation patterns; computerised signal processing; systolic arrays; Givens rotation; antenna phased arrays; least-squares weight vector; limited input data; noise-subspace approach; noise-subspace-based adaptive beamformer; signal processing; triangular systolic array; Adaptive arrays; Array signal processing; Equations; Least squares approximation; Master-slave; Sensor arrays; Signal design; Signal processing; Systolic arrays; Working environment noise;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1990. AP-S. Merging Technologies for the 90's. Digest.
Conference_Location :
Dallas, TX, USA
DOI :
10.1109/APS.1990.115392
