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• W2006500029 abstract "Passive tracking is a popular research topic in data fusion domain because of its good hidden nature. But the traditional bearings-only tracking (BOT) is limited by its poor observability. This paper introduces Doppler frequency measurement to passive tracking and the corresponding filtering formulation is proposed. Moreover, we present a solution to multi-target tracking based on the Gaussian mixture probability hypothesis density (GM-PHD) filter jointly using the frequency and bearing measurements. The application of the discussed approach in simulation proves its effectiveness and practicability." @default.
• W2006500029 created "2016-06-24" @default.
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• W2006500029 date "2013-08-01" @default.
• W2006500029 modified "2023-09-22" @default.
• W2006500029 title "Doppler-bearing passive tracking using Gaussian mixture probability hypothesis density filter" @default.
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• W2006500029 doi "https://doi.org/10.1109/icspcc.2013.6664119" @default.
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