Fang-ming Huang

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An analytic suboptimum solution is given for the theoretically rigorous multi-sensor probability hypothesis density (MS-PHD) filter due to R. Mahler. Under linear Gaussian assumptions, the propagating formulas for the means, covariances and weights of the constituent Gaussian components of the posterior intensity are given. Furthermore, a method, named(More)
A multiple target tracking method based on Gaussian mixture probability hypothesis density (GM-PHD) filter is given under the condition of asynchronous measurement in radar system, named Cross Sector GM-PHD. The Cross Sector GM-PHD process does not require all measured values measured at the same time, but also can deal the multiple targets tracking problem(More)
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