Fixed-point analysis and realization of an adaptive eigenvector algorithm for use in sensor networks

Author

Xu, Fan ; Willson, Alan N., Jr.

Author_Institution

Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA

Volume

1

fYear

1999

Firstpage

668

Abstract

We present a fixed-point analysis of an adaptive eigenvector algorithm. Based on a linearized model, we derive explicit equations for the steady-state mean-square error (MSE) infinite precision computations. Simulation results are given to validate our theoretical analysis and model. Some modifications to make the algorithm fixed-point realizable are proposed and a ring-processor based implementation is discussed.

Keywords

adaptive signal processing; array signal processing; eigenvalues and eigenfunctions; fixed point arithmetic; mean square error methods; MSE infinite precision computations; adaptive eigenvector algorithm; beamformer; explicit equations; fixed-point analysis; fixed-point realizable algorithm; linearized model; ring-processor; sensor networks; simulation results; steady-state mean-square error; Algorithm design and analysis; Arithmetic; Computational complexity; Convergence; Eigenvalues and eigenfunctions; Equations; Gradient methods; Intelligent networks; Steady-state; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.832413

Filename

832413