Asymptotic Optimality of the Maximum-Likelihood Kalman Filter for Bayesian Tracking With Multiple Nonlinear Sensors

DOI10.1109/TSP.2015.2440220zbMath1394.94372OpenAlexW2396933352MaRDI QIDQ4580764

Brett Ninness, Fu, Minyue, Damián Edgardo Marelli

Publication date: 22 August 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2015.2440220

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

A new Hamilton-Jacobi differential game framework for nonlinear estimation and output feedback control

Uses Software

• NLopt

This page was built for publication: Asymptotic Optimality of the Maximum-Likelihood Kalman Filter for Bayesian Tracking With Multiple Nonlinear Sensors