Title :
RLS-based blind adaptive beamforming algorithm for antenna array in CDMA systems
Author :
Yang, Jian ; Xi, Hongsheng ; Yang, Feng
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, China
fDate :
27 June-3 July 2005
Abstract :
In this paper, the maximum signal-to-(interference plus noise) ratio (MSINR) beamforming problem in antenna array CDMA systems is considered. We reinterpret a modified MSINR criterion as an unconstrained scalar cost function. By applying recursive least-squares (RLS) to minimize the cost function, we derive a novel blind adaptive beamforming algorithm to estimate the beamforming vector which optimally combines the desired signal contributions from different antenna elements while suppressing noise and interference. A rigorous analysis of the convergence properties of the algorithm by using the stochastic approximation theory is given. Simulation results are presented to show the performance of the proposed algorithm.
Keywords :
antenna arrays; code division multiple access; interference (signal); interference suppression; least mean squares methods; signal denoising; stochastic processes; CDMA systems; RLS-based blind adaptive beamforming algorithm; antenna array; beamforming vector; interference suppression; recursive least-squares; signal-to-interference ratio; signal-to-noise ratio; stochastic approximation theory; unconstrained scalar cost function; Adaptive arrays; Algorithm design and analysis; Antenna arrays; Array signal processing; Cost function; Interference suppression; Multiaccess communication; Recursive estimation; Resonance light scattering; Signal to noise ratio;
Conference_Titel :
Information Acquisition, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9303-1
DOI :
10.1109/ICIA.2005.1635100
