A GLMB filter for unified multitarget multisensor management

Ronald Mahler

doi:10.1117/12.2520129

7 May 2019 A GLMB filter for unified multitarget multisensor management

Ronald Mahler

Proceedings Volume 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII; 110180D (2019) https://doi.org/10.1117/12.2520129
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

The generalized labeled multi-Bernoulli (GLMB) filter of Vo and Vo is an exact closed-form solution of the multitarget Bayes' filter and is, therefore, provably Bayes-optimal. Its recent implementations are extremely fast, with computational order O(n²m) where n,m are the current numbers of tracks resp. measurements. This paper generalizes the GLMB filter to fully integrated multitarget tracking and sensor management, in which dynamically moving sensors can appear and disappear and in which the states of these sensors are estimated via measurements collected by internal actuator sensors.

Conference Presentation

Citation Download Citation

Ronald Mahler "A GLMB filter for unified multitarget multisensor management", Proc. SPIE 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, 110180D (7 May 2019); https://doi.org/10.1117/12.2520129

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