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For the over-the-horizon radar (OTHR) based target tracking, the reflecting height of the ionosphere, which reflects radar signals, is important. Existing methods assume that this height is exactly known a priori. In practice, however, we can only determine its range, not its specific value. To circumvent this problem, we propose to use a multiple-model approach in which each model corresponds to...
Evaluating the performance of multi-target tracking with respect to tracks rather than unlabeled estimated points is important and challenging. Existing approaches assume exact knowledge of the ground truth. However, this is far from the reality. This paper proposes a method to deal with the case of unknown ground truth by measuring the difference between mock tracks and the assumed targets in the...
Multi-target tracking (MTT) has been an important and challenging area of research in the past several decades. A number of algorithms for MTT have been proposed and related performance evaluation (PE) is also gaining more attention. However, these PE methods assume exact knowledge of the ground truth, which is far from the reality. In this paper we deal with the PE of MTT without knowing ground truth...
An improved version of Integrated Probabilistic Data Association Filter (IPDAF) based on a new concept of probability of target perceivability was introduced recently. This paper presents theoretical results of a new formulation for IPDAF. Validity and comparison of this new IPDAF with its previous version is discussed through simulations results presented at the end of the paper. This provides a...
Gating for maneuvering target tracking in clutter is considered. Based on the conventional model probability weighted gating (MPWG) technique, three modified gating techniques are given, including adaptive gating (AG), model probability weighted centralized gating (MPW-CG), and model probability weighted model based gating (MPW-MBG). Furthermore, a measure based on the error covariance matrix is used...
The measurement that is "closest" to the predicted target measurement is known as the "nearest neighbor" (NN) measurement in tracking. A common method currently in wide use for tracking in clutter is the so-called NN filter, which uses only the NN measurement as if it were the true one. The purpose of this work is two fold. First, the following theoretical results are derived:...
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