A novel unitary beamspace recursive least squares algorithm for fast adaptive beamforming

Author

Wei Shao ; Ting-hui Yin ; Fan-qiu Meng ; Zu-Ping Qian

Author_Institution

Coll. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China

Volume

03

fYear

2013

fDate

16-18 Dec. 2013

Firstpage

1236

Lastpage

1240

Abstract

A novel unitary beamspace recursive least squares (UB-RLS) algorithm for fast adaptive beamforming is proposed in this paper. Firstly, a kind of random unitary transformation matrix is designed. Secondly, with these matrices, the feed signals are transformed into a low-dimensional space named the unitary beamspace (UB) and the computation complexity is accordingly decreased. Finally, the RLS algorithm is applied for the beamspace to realize adaptive beamforming and the whole processing is called the UB-RLS algorithm. As a result, a good signal of interest (SOI) extraction and interferences nulling performance is obtained. Simulation experiments show the merits of the proposed algorithm against the other two, the UB-LMS algorithm and the UB-MVDR algorithm.

Keywords

array signal processing; computational complexity; least squares approximations; matrix algebra; RLS algorithm; UB-RLS algorithm; computation complexity; fast adaptive beamforming; interference nulling performance; low-dimensional space; novel unitary beamspace recursive least squares algorithm; random unitary transformation matrix; signal of interest extraction; unitary beamspace; Algorithm design and analysis; Array signal processing; Arrays; Convergence; Least squares approximations; Signal processing algorithms; Signal to noise ratio; adaptive beamforming; unitary beamspace recursive least squares (UB-RLS) algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2013 6th International Congress on

Conference_Location

Hangzhou

Print_ISBN

978-1-4799-2763-0

Type

conf

DOI

10.1109/CISP.2013.6743861

Filename

6743861