The estimation fusion and Cramer-Rao bounds for nonlinear systems with uncertain observations

Abstract

The estimation fusion problem and posterior Cramer-Rao bound (PCRB) are presented for multi-sensor nonlinear systems with uncertain observations. In order to effectively deal with the difficulties caused by uncertainty, a novel method is proposed by introducing 0–1 latent variables. It has two nice properties. Firstly, the derived estimation fusion… (More)
DOI: 10.23919/ICIF.2017.8009668

Topics

7 Figures and Tables

Cite this paper

@article{Wang2017TheEF, title={The estimation fusion and Cramer-Rao bounds for nonlinear systems with uncertain observations}, author={Ping Wang and Zhiguo Wang and Xiaojing Shen and Yunmin Zhu}, journal={2017 20th International Conference on Information Fusion (Fusion)}, year={2017}, pages={1-8} }