Multitarget Bearing Only Tracking by Particle Filter

Version 1.4.0.0 (107 KB) by Sebastien PARIS
A demo illustrating Multitarget BO tracking by particle filter
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Updated 28 Jan 2020

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A fast implementation of particle filter dedicaced to multitarget tracking with bearing only measurements. For the multitarget data association problem, a gibbsampler is used to estimate target association probabilities.

Ref : "Sequential Monte-Carlo methods for multple target tracking and data fusion" , Carine. Hue, Jean-Pierre Le Cadre and Patrick Perez, IEEE Transactions on Signal Processing , Vol 50, no 2, 2002

Please mexme_mtbot to compile mex-files on your own plateform.

Run demo_mtbot.m for the demo

Cite As

Sebastien PARIS (2026). Multitarget Bearing Only Tracking by Particle Filter (https://uk.mathworks.com/matlabcentral/fileexchange/22244-multitarget-bearing-only-tracking-by-particle-filter), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.4.0.0

Fixed for modern Matlab & OS64
1.3.0.0

- Add mexme_mtbot. Should compile on Linux system
1.2.0.0

-Minor changes
1.1.0.0

- Add #define max for LCC compiler ....
1.0.0.0