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Sequential signal encoding and estimation for distributed sensor networks

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2 Author(s)
M. M. Abdallah ; Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD, USA ; H. C. Papadopoulos

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

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Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on  (Volume:4 )

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