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

fYear

2005

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Acquisition, 2005 IEEE International Conference on

Print_ISBN

0-7803-9303-1

Type

conf

DOI

10.1109/ICIA.2005.1635100

Filename

1635100