The convergence rate performance of generalized sidelobe canceller

Author

Wen, Jhy-Horng ; Sheu, Jeng-Shin

Author_Institution

Inst. of Electr. Eng., Nat. Chung Cheng Univ., Chia-Yi, Taiwan

fYear

2001

fDate

2001

Firstpage

847

Lastpage

850

Abstract

The least mean squares (LMS) algorithm is widely used in adaptive array systems since it can provide both low complexity and robust performance. However, the convergence rate of this gradient-descent based algorithm is governed by the eigenvalue spread of the autocorrelation matrix. The eigenvalue spread ratio (ESR) in a generalized sidelobe canceller (GSC) is derived. It can provide insight of how various parameters, related to an adaptive array system, affect the performance of the convergence rate. Finally, numerical and simulation results are used to verify that the derivation of ESR is correct

Keywords

adaptive antenna arrays; array signal processing; convergence of numerical methods; direction-of-arrival estimation; eigenvalues and eigenfunctions; gradient methods; least mean squares methods; matrix algebra; mobile radio; radiofrequency interference; DOA estimation; LMS algorithm; adaptive array antenna technology; autocorrelation matrix; convergence rate performance; direction of arrival estimation; eigenvalue spread ratio; generalized sidelobe canceller; gradient-descent based algorithm; least mean square algorithm; third generation wireless systems; time varying channel; Adaptive arrays; Adaptive systems; Antenna arrays; Autocorrelation; Convergence; Eigenvalues and eigenfunctions; Iterative algorithms; Least squares approximation; Numerical simulation; Paramagnetic resonance;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2001 CIE International Conference on, Proceedings

Conference_Location

Beijing

Print_ISBN

0-7803-7000-7

Type

conf

DOI

10.1109/ICR.2001.984844

Filename

984844