Sharad Nagappa

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—This paper proposes the use of the Hellinger distance in evaluating the localisation error in the OSPA metric. The Hellinger distance provides a measure of the difference between two distributions and is used here to measure the difference between the true and estimated targets where the true and estimated single-target states are characterised by Gaussian(More)
This paper presents a sequential Monte Carlo method for tracking an unknown varying number of time-varying frequencies. A reversible-jump sampler is used to implement model-order determination. It is shown that for a linear-in-the-amplitudes observation model in white Gaussian noise, the amplitudes and noise variance can be analytically marginalised out of(More)
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