Sequential signal encoding and estimation for distributed sensor networks

M. M. Abdallah*, H. C. Papadopoulos

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

16 Citations (Scopus)

Abstract

We develop algorithms for sequential signal encoding from sensor measurements, and for signal estimation via fusion of channel-corrupted versions of these encodings. For signals described by state space models, we present optimized sequential binary-valued encodings constructed via threshold-controlled scalar quantization of a running Kalman filter signal estimate from the sensor measurements. We also develop methods for robust fusion from observations of these encodings corrupted by binary symmetric channels.

Original languageEnglish
Pages (from-to)2577-2580
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume4
Publication statusPublished - 2001
Externally publishedYes
Event2001 IEEE International Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States
Duration: 7 May 200111 May 2001

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