In this paper, we investigate the tracking of the 3D moving target when multiple measurements are available. We propose a particle filter-based 3D target tracking algorithm with measurement of time difference of arrival (TDoA), frequency difference of arrival (FDoA), and angle of arrival (AoA). We analyze the performance of the proposed scheme by MATLAB simulations and show the efficiency of the particle filter for 3D moving target tracking with various types of measurements.
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Seo et al. (2018) studied this question.
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