Sequential signal encoding and estimation for distributed sensor networks

Author

Abdallah, Mohamed M. ; Papadopoulos, Haralabos C.

Author_Institution

Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD, USA

Volume

4

fYear

2001

fDate

2001

Firstpage

2577

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

Keywords

Kalman filters; binary codes; distributed sensors; optimisation; parameter estimation; quantisation (signal); sensor fusion; sequential codes; state-space methods; telecommunication channels; Kalman filter; binary symmetric channels; channel-corrupted encodings; distributed sensor networks; scalar quantization; sensor fusion; sequential binary-valued encodings; sequential signal encoding; signal estimation; state space models; Computer networks; Encoding; Estimation; Feedback; Quantization; Sensor fusion; Sensor phenomena and characterization; Signal design; Signal processing; State-space methods;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940528

Filename

940528