Array signal processing for a wireless MEM sensor network
- 27 November 2002
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
We first review the high-level signal processing architecture of a wireless MEM sensor system for source detection, signal enhancement, localization, and identification. A blind beamformer using only the measured data of randomly distributed sensors to form a sample correlation matrix is proposed. The maximum power collection criterion is used to obtain array weights from the dominant eigenvector of the sample correlation matrix. An effective blind beamforming estimation of the time delays of the dominant source is demonstrated. Source localization based on a novel least-squares method for time delay estimation is also given. Array system performance based on analysis, simulation, and measured acoustical/seismic sensor data is presented. Applications of such a system to multimedia, intrusion detection, and surveillance are briefly discussed.Keywords
This publication has 4 references indexed in Scilit:
- Beamforming performance of a randomly distributed sensor array systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Arrays of randomly spaced sensorsPublished by SPIE-Intl Soc Optical Eng ,1996
- On the exact solutions of pseudorange equationsIEEE Transactions on Aerospace and Electronic Systems, 1994
- An Algebraic Solution of the GPS EquationsIEEE Transactions on Aerospace and Electronic Systems, 1985