Trellis based equalisers provide a good tradeoff between complexity and performance in the equalisation of time dispersive communication channels. In order to induce the best performance from such equaliser structures...
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In recent years matched processing techniques have emerged as a solution for the problem of target motion analysis. A target's motion parameters are estimated by determining which of a bank of replica signals best...
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This paper derives Cramér-Rao lower bounds (CRLBs) for airborne acoustic sources tracking estimates using an array of hydrophones. The paper considers both bearing and Doppler frequency measurements in a two laye...
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This paper derives the true Cramér-Rao lower bounds (CRLB) on the individual phase estimation and the coupled carrier phase and frequency estimation for transmission bursts with pilot-assisted PSK/QAM modulation....
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An important problem in multi-target tracking is track initiation and termination. The tracking algorithm aims to discriminate false detections caused by various sources of interference from valid detections caused by...
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ISBN:
(纸本)0972184414
An important problem in multi-target tracking is track initiation and termination. The tracking algorithm aims to discriminate false detections caused by various sources of interference from valid detections caused by targets of interest. This is a problem of model order estimation. One approach to solving this problem with the Probabilistic Data Association Filter has been referred to as target visibility, This paper shows how the target visibility model can be incorporated into the Probabilistic Multi-Hypothesis Tracker to provide integrated initiation and termination.
The Integrated Probabilistic Data Association (IPDA) type filters provide estimates of the underlying target probability of existence/perceivabiiiryMsibility apart from track state maintenance. These quantities are co...
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Allowing for perturbations in speed and turn rate, the state of a target moving in a coordinated turn obeys a nonlinear stochastic differential equation which cannot be discretised exactly. Existing algorithms for coo...
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The Probabilistic Multi-Hypothesis Tracker (PMHT) is a recent algorithm based on the application of Expectation Maximisation to multi-target tracking. The algorithm treats the sensor measurements as independent observ...
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This paper is about tracking people in real-time as they move through the non-overlapping fields of view of multiple video cameras. The paper builds upon existing methods for tracking moving objects in a single camera...
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This paper describes a computationally efficient method for tracking multiple moving targets. The method is predicated on estimation of the joint multitarget probability density (JMPD), which is a single probabilistic...
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