A new fast adaptive beamforming method based on LMS algorithm

Author

Huang, Fei ; Sheng, Wei Xing ; Qi, Bo Yu ; Wang, Wei

Author_Institution

Nanjing Univ. of Sci. & Technol., China

Volume

3

fYear

2005

fDate

4-7 Dec. 2005

Abstract

In this paper, a new subarray least mean square algorithm (SLMS) for digital beamforming antenna system is proposed, which is suitable to be applied in parallel DSP hardware to achieve high computational efficiency. Low sidelobe of the beam is obtained by constraining the static steering vector with Tschebyscheff coefficients. Simulation results show that the proposed SLMS method requires less computational load than that of subarray asynchronous recursive least square (SARLS) method.

Keywords

adaptive antenna arrays; antenna theory; array signal processing; beam steering; least mean squares methods; LMS algorithm; Tschebyscheff coefficients; adaptive beamforming method; digital beamforming antenna system; parallel DSP hardware; static steering vector; subarray asynchronous recursive least square method; subarray least mean square algorithm; Adaptive arrays; Array signal processing; Computational modeling; Convergence; Digital signal processing; Information science; Least mean square algorithms; Least squares approximation; Least squares methods; Sensor arrays;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave Conference Proceedings, 2005. APMC 2005. Asia-Pacific Conference Proceedings

Print_ISBN

0-7803-9433-X

Type

conf

DOI

10.1109/APMC.2005.1606694

Filename

1606694