Subarray adaptive array beamforming algorithm based on LCMV

A subarray adaptive beamforming algorithm that is subarray linearly constrained minimum variance (SLCMV) based on linearly constrained minimum variance (LCMV) is proposed in this paper. The computational load of the proposed SLCMV beamforming method is quite less than that of LCMV while keep the sam...

Full description

Saved in:
Bibliographic Details
Published in2005 Asia-Pacific Microwave Conference Proceedings Vol. 3; p. 3 pp.
Main Authors Wei Wang, Wei Xing Sheng, Bo Yu Qi
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Adaptive algorithm
Adaptive arrays
Array signal processing
Computational modeling
Equations
Information science
Least squares methods
Noise cancellation
Radar
Signal to noise ratio
Online AccessGet full text
ISBN078039433X
9780780394339
ISSN2165-4727
DOI10.1109/APMC.2005.1606695

Cover

More Information
Summary:A subarray adaptive beamforming algorithm that is subarray linearly constrained minimum variance (SLCMV) based on linearly constrained minimum variance (LCMV) is proposed in this paper. The computational load of the proposed SLCMV beamforming method is quite less than that of LCMV while keep the same degrees of freedom for beamforming. Comparative study between SLCMV and SARLS (subarray asynchronous recursive least square) is accomplished. Simulation results prove that the proposed SLCMV method is correct and requires less computational load than that of SARLS method.
ISBN:078039433X
9780780394339
ISSN:2165-4727
DOI:10.1109/APMC.2005.1606695