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Over-the-horizon radar is used to detect targets at very long ranges by reflecting of/refracting signals within the ionosphere. Multiple propagation paths exist between the radar and the target, which can result in multiple target-originated measurements in each scan. It is uncertain which path corresponds with each measurement. Due to the necessary low detection threshold for very low signal-to-noise...
The Maximum Likelihood Probabilistic Multi-Hypothesis Tracker (ML-PMHT) can be used as a powerful multisensor, low-observable, multitarget tracker. It is a non-Bayesian algorithm that uses a generalized likelihood ratio (LR) test to differentiate between clutter and target tracks. Prior to this work, the detection threshold used for target track acceptance was determined either through trial and error...
In this paper we formulate data association with possibly unresolved measurements as an augmented assignment problem. Unlike conventional measurement-to-track association via assignment, this augmented assignment problem has much greater complexity when each target originated measurement can be of single or multiple origins. The main point is that standard one-to-one assignment algorithms do not work...
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