The objective of this article is to provide an accessible and, the same time, comprehensive
treatment of the fundamental concepts about CRBs and efficient estimators in the presence …

Time-of-arrival (TOA) based localization plays a central role in current and future localization
systems. Such systems, exploiting the fine delay resolution properties of wideband and ultra …

A lower bound is an important tool for predicting the performance that an estimator can
achieve under a particular statistical model. Bayesian bounds are a kind of such bounds …

This chapter aims to provide a comprehensive overview on lower bounds on mean square
error (MSE) on the estimation of a deterministic parameter vector under misspecified …

In positioning problems, the assumed data distribution could differ from the true one, leading
to inaccurate target position estimation. Cramér-Rao bound (CRB), a lower bound on the …

In parameter estimation, assumptions about the model are typically considered which allow
us to build optimal estimation methods under many statistical senses. However, it is usually …

Cognitive radio (CR) provides a theoretical foundation to achieve the cognitive function and
collaborative function for the positioning nodes. Under this trend, the cognitive positioning …