Smoothing with Measurement Information Retrodictions in Cluttered Environments

HYUNG JUNE, KIM and TAE HAN, KIM and TAEK LYUL, SONG (2015) Smoothing with Measurement Information Retrodictions in Cluttered Environments. In: Third International Conference on Advances in Information Processing and Communication Technology - IPCT 2015, 10-11 December, 2015, Rome, Italy.

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This paper presents a smoothing data association algorithm for a single target tracking in clutter. The proposed algorithm fuses the forward estimates and all the available measurement information retrodictions (but not backward track estimates) within the smoothing window to obtain the smoothed estimates. The measurement information retrodictions are obtained using the one-step-backward information filter propagation for fast calculation. The simulation studies show that the proposed algorithm improves the false track discrimination performance with similar root mean squared errors as the existing smoothing integrated probabilistic data association algorithm.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Smoothing data association, measurement information retrodictions, false track discrimination.
Depositing User: Mr. John Steve
Date Deposited: 04 Apr 2019 11:58
Last Modified: 04 Apr 2019 11:58

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