Error Scaling Laws for Linear Optimal Estimation From Relative Measurements
Error Scaling Laws for Linear Optimal Estimation From Relative Measurements
We study the problem of estimating vector-valued variables from noisy "relative" measurements. This problem arises in several sensor network applications. The measurement model can be expressed in terms of a graph, whose nodes correspond to the variables and edges to noisy measurements of the difference between two variables. We take …