DocumentCode
1301088
Title
Quantizer design for distributed estimation with communication constraints and unknown observation statistics
Author
Megalooikonomou, Vasileios ; Yesha, Yaacov
Author_Institution
Dept. of Comput. Sci., Dartmouth Coll., Hanover, NH, USA
Volume
48
Issue
2
fYear
2000
fDate
2/1/2000 12:00:00 AM
Firstpage
181
Lastpage
184
Abstract
We consider the problem of quantizer design in a distributed estimation system with communication constraints in the case where only a training sequence is available. Our approach is based on a generalization of regression trees. The look-ahead method that we also propose improves significantly the performance. The final system performs similarly to the one that assumes known statistics
Keywords
parameter estimation; quantisation (signal); sensor fusion; statistical analysis; trees (mathematics); communication constraints; cooperative design-separate encoding; distributed estimation; fusion center; observation statistics; performance; quantizer design; regression trees generalization; training sequence; vector quantizer; Computer science; Quantization; Radar remote sensing; Regression tree analysis; Remote sensing; Satellites; Seismology; Sensor fusion; Sonar; Statistical distributions;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/26.823548
Filename
823548
Link To Document