Design and evaluation of large-scale state estimation algorithms having information exchange

This paper considers the design and evaluation of large-scale state estimation algorithms which utilize information exchange over noisy communication channels. The role of the surely locally unbiased filter in evaluating the trade-offs between the cost of information transfer and filter performance is examined and an algorithm for the design of optimal information exchange is presented. The theoretical results are illustrated via an application to a power system model.