The turbo PMHT

Author

Ruan, Yanhua ; Willett, Peter

Author_Institution

Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA

Volume

40

Issue

4

fYear

2004

Firstpage

1388

Lastpage

1398

Abstract

The PMHT (probabilistic multihypothesis tracker) uses "soft" a posteriori probability associations between measurements and targets. Its implementation is a straightforward iterative application of a Kalman smoother operating on "synthetic" (i.e., modified) measurements, and of recalculation of these synthetic measurements based on the current track estimate. In this correspondence, we first discuss the basic PMHT and some of the older PMHT variants that have been used to enhance convergence. We then introduce the new turbo PMHT, which is informed by the recent success of turbo decoding in the digital communication context. This new PMHT has performance substantially improved versus any of the previous versions.

Keywords

Kalman filters; iterative methods; probability; smoothing methods; target tracking; turbo codes; Kalman smoother operation; iterative application; probabilistic multihypothesis tracker; soft a posteriori probability association; synthetic measurement; track estimate recalculation; turbo PMHT; turbo decoding; Context; Convergence; Current measurement; Decoding; Digital communication; Kalman filters; Maximum likelihood estimation; Target tracking; Testing; Time measurement;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2004.1386891

Filename

1386891