Share Email Print
cover

Proceedings Paper

Random array processing for micromachined sensor network
Author(s): Kung Yao; C. W. Reed; Ralph E. Hudson; Flavio Lorenzelli
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper considers 'blind beamforming' operations on a wireless network of randomly distributed MEM sensors. Maximum power collection criterion is proposed and results in array weights obtained from the eigenvector corresponding to largest eigenvalue of a matrix eigenvalue problem. Theoretical justification of this approach to an extension of Szego's asymptotic distribution of eigenvalues is provided. Numerical results on propagation time delay estimation and loss of coherency due to propagation disturbances are presented.

Paper Details

Date Published: 24 October 1997
PDF: 12 pages
Proc. SPIE 3162, Advanced Signal Processing: Algorithms, Architectures, and Implementations VII, (24 October 1997); doi: 10.1117/12.279488
Show Author Affiliations
Kung Yao, Univ. of California/Los Angeles (United States)
C. W. Reed, Univ. of California/Los Angeles (United States)
Ralph E. Hudson, Univ. of California/Los Angeles (United States)
Flavio Lorenzelli, Univ. of California/Los Angeles (United States)


Published in SPIE Proceedings Vol. 3162:
Advanced Signal Processing: Algorithms, Architectures, and Implementations VII
Franklin T. Luk, Editor(s)

© SPIE. Terms of Use
Back to Top