Book review: Review of Particle Filters for Random Set Models

20170 citationsJournal Article

Authors

Lawrence D. Stone · Springer Publishing Company (United States)

Abstract

If the reader is able to mentally strip out the unnecessary and sometimes burdensome random set framework used in many places, he will find a very fine book filled with interesting examples illustrating the power of particle filters. If fact, he will find a book much like a sequel to Beyond the Kalman Filter.

Topics & Keywords

Target Tracking and Data Fusion in Sensor Networks Gaussian Processes and Bayesian Inference Time Series Analysis and Forecasting

Publication Details

Published in: IEEE Aerospace and Electronic Systems Magazine

Volume 32, Issue 1, pp. 45-47

DOI: 10.1109/maes.2017.160210

Field-Weighted Citation Impact: 0.00

Command Palette

Book review: Review of Particle Filters for Random Set Models

Authors

Abstract

Topics & Keywords

Publication Details