ROBUST ESTIMATION FOR UNCERTAIN MODELS IN A DATA FUSION SCENARIO

摘要

This paper formulates and solves a parameter estimation problem that shows how to combine, in a certain optimal and robust manner, measurements that arise from a finite collection of uncertain models. This scenario occurs, for example, in data fusion applications and in cases that involve systems that can operate under different failure conditions. An example in the context of macroscopic diversity in wireless cellular systems is considered.