Sequential signal encoding and estimation for distributed sensor networks

Mohamed Abdallah, H. C. Papadopoulos

Research output: Contribution to journalArticle

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
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
Publication statusPublished - 2001
Externally publishedYes

Fingerprint

signal encoding
Signal encoding
Sensor networks
coding
Fusion reactions
sensors
Sensors
fusion
Kalman filters
scalars
thresholds
estimates

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

Cite this

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