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To solve the general multi-target tracking (MTT) problem, an improved Sequential Monte Carlo (SMC) implementation of the probability hypothesis density (PHD) filter called as Sigma-gating SMC-PHD filter, is proposed that updates particles only using the local nearby measurements inside a specified sigma-gate. The sigma-gate is based on the given measurement noise, e.g. 3σ, where σ is the standard...
A new multiple extended target tracking algorithm using the probability hypothesis density (PHD) filter is proposed in our study, to solve problems on tracking performance degradation of the extended target PHD (ET-PHD) filter under the nonlinear conditions and its intolerable computational requirement. It is noted that with the current Gaussian mixture implement of ET-PHD filter satisfying tracking...
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