Unified Optimal Linear Estimation Fusion— Part II: Discussions and Examples
نویسندگان
چکیده
Several unified optimal estimation/track fusion rules in the sense of best linear unbiased estimation (BLUE) and weighted least squares (WLS) have been presented in Part I [6] for centralized, distributed, and hybrid fusion architectures. This paper discusses their pros and cons, verifies these rules, and demonstrate via simulation examples how these fusion rules can be used in cases with either complete, incomplete, or no prior information about the estimatee (i.e., the quantity to be estimated).
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تاریخ انتشار 2000