Unified Optimal Linear Estimation Fusion — Part I : Unified Models and Fusion Rules

@inproceedings{Li2000UnifiedOL,
  title={Unified Optimal Linear Estimation Fusion — Part I : Unified Models and Fusion Rules},
  author={X. Rong Li and Yunmin Zhu},
  year={2000}
}
This paper deals with data fusion for the purpose of estimation. Three fusion architectures are considered: centralized, distributed, and hybrid. A unified linear model and general framework for these three architectures are established. Optimal fusion rules in the sense of best linear unbiased estimation (BLUE), weighted least squares (WLS), and their generalized versions are presented for cases with either complete, incomplete, or no prior information. These rules are much more general and… CONTINUE READING
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