Title :
Modified implementations of RLS digital beamformer
Author :
Zaharov, Viktor V. ; Teixeira, Marvi
Author_Institution :
Dept. of ECE&CS, Puerto Rico Univ., Rio Piedras, Puerto Rico
Abstract :
Some modifications of the conventional recursive least square (RLS) beamformer are presented. The proposed modifications allow us both to reduce the computational complexity of RLS beamformer and to increase its numerical performance. The proposed modifications are based upon the application of vector operations instead of matrix operations and triangular decomposition. As shown, the proposed implementation outperforms the conventional RLS beamformer in computational complexity as well as in robustness against the computational errors.
Keywords :
array signal processing; least squares approximations; recursive estimation; vectors; RLS digital beamformer; computational error robustness; numerical performance; recursive least square; reduced computational complexity; vector operations; Array signal processing; Computational complexity; Interference; Least squares methods; Matrix decomposition; RF signals; Resonance light scattering; Robustness; Sensor arrays; USA Councils;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2005 IEEE
Print_ISBN :
0-7803-8883-6
DOI :
10.1109/APS.2005.1552234
