Naslov
Performance Evaluation of Nonlinear Filters for Tracking Multiple Ballistic Targets

Autori
Sinhaa, A. ; Nandakumarana, N. ; Sutharsana, S. ; Kirubarajana, T. ; El-Fallah, Adel ; Zatezalo, Aleksandar

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of SPIE / Kadar, Ivan - Bellingham (WA) : SPIE, 2005

Skup
Defense and Security Symposium 2005

Mjesto i datum
Orlando (FL), Sjedinjene Američke Države, 28.03.2005

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
closely-spaced target tracking; spawning target tracking; feature-aided tracking; particle filters

Sažetak
The particle filter is an effective technique for target tracking in the presence of nonlinear system model, nonlinear measurement model or non-Gaussian noise in the system and/or measurement processes. In this paper, we compare three particle filtering algorithms on a spawning ballistic target tracking scenario. One of the algorithms, the tagged particle filter (TPF), was recently developed by us. It uses separate sets of particles for separate tracks. However, data association to different tracks is interdependent. The other two algorithms implemented in this paper are the probability hypothesis density (PHD) algorithm and the joint multitarget probability density (JMPD). The PHD filter propagates the first order statistical moment of multitarget density using particles. While, the JMPD stacks the states of a number of targets to form a single particle that is representative of the whole system. Simulation results are presented to compare the performances of these algorithms.

Izvorni jezik
Engleski

Znanstvena područja
Matematika

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