In this thesis, we consider a sampling design problem for a distributed parameter estimation
system. The system contains a number of remotely located local sensors that can preprocess
the observed signal and convey the processed data to a data fusion center to make the final
estimate. Two issues are considered for this system. One is a sampling scheme design for a
parameter estimation problem in a single context. The other is how to assign the appropriate
number of sampling points to each of the sensors when a constraint on the total sample size
is assumed. Here we propose to design this two issues by maximizing the criterion of Fisher's
information or minimizing the Fisher's information loss . A sampling design procedure will be
established and some numerical simulations will be also carried out for illustration purpose.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0730109-020423 |
| Date | 30 July 2009 |
| Creators | Wu, Tsai-Cheng |
| Contributors | Chao-Tang Yu, Tsang-Yi Wang, Chih-Peng Li, Jwo-Yuh Wu, Wan-Jen Huang |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730109-020423 |
| Rights | withheld, Copyright information available at source archive |
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