Multitarget-moment filters for nonstandard measurement models

Ronald Mahler

doi:10.1117/12.778107

6 May 2008 Multitarget-moment filters for nonstandard measurement models

Ronald Mahler

Proceedings Volume 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII; 69680N (2008) https://doi.org/10.1117/12.778107
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

The probability hypothesis density (PHD) and cardinalized PHD (CPHD) filters were introduced in 2000 and 2006, respectively, as approximations of the full multitarget Bayes detection and tracking filter. Both filters are based on the "standard" multitarget measurement model that underlies most multitarget tracking theory - namely, that sensor measurements are detections. Other sensors, however, collect measurements that are not detections. This paper describes the extensions of the CPHD filter concept to a nonstandard bearing-only sensor model proposed by Vihola.

Citation Download Citation

Ronald Mahler "Multitarget-moment filters for nonstandard measurement models", Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69680N (6 May 2008); https://doi.org/10.1117/12.778107

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