Integrated track splitting suite of target tracking filters
D. Muslicki, Ruben Evens, Barbara La Scala · 2003
This paper presents new algorithms for mulfi-scan, single target and multi target tracking in clutter. The algorithms from the Integrated Track Splif- ring (ITS) family offilters model each track as a set of components, where each component has a unique meas- uremenf history which consists ofzero or one measure- men1 received each scan. For each componenf, as well as for each track, the state estimate and the a-posferiori probability of component existence are computed recur- sively. Three algorithms are presenfed in fhis paper. The ITSfilfer is a single target tracking algorithm. The Joint ITS (JITS) filter is a multi target tracking algorithm which calculafes the a-posteriori probabilities of all pos- sible measurement-to-track assignmenfs, from which a- posteriori probabilities of component and track existence are computed. In each scan, fhe number of assignments grows exponentially in the number of trach and the num- ber of measuremenfs involved. The Linear Joint ITS (I-IITS) filter is anofher multi targef tracking algorifhm which decouples individual tracks in a mulfi-hack sifua- tion using the a-priori probabilities of possible measure- ment origins. In each scan, the LJlTSfilfer has a number of operations which is linear in the number offracks and the number of measurements involved.