A Comparative Analysis of QADA-KF with JPDAF for Multitarget Tracking in Clutter

A Comparative Analysis of QADA-KF with JPDAF for Multitarget Tracking in Clutter
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Publisher : Infinite Study
Total Pages : 8
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Book Synopsis A Comparative Analysis of QADA-KF with JPDAF for Multitarget Tracking in Clutter by : Jean Dezert

Download or read book A Comparative Analysis of QADA-KF with JPDAF for Multitarget Tracking in Clutter written by Jean Dezert and published by Infinite Study. This book was released on with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents a comparative analysis of performances of two types of multi-target tracking algorithms: 1) the Joint Probabilistic Data Association Filter (JPDAF), and 2) classical Kalman Filter based algorithms for multi-target tracking improved with Quality Assessment of Data Association (QADA) method using optimal data association. The evaluation is based on Monte Carlo simulations for difficult maneuvering multiple-target tracking (MTT) problems in clutter.


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