Frontiers in Optics + Laser Science 2022 (FIO, LS) 2022
DOI: 10.1364/fio.2022.jw4a.64
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Object tracking with data under Colored Measurement Noise (CMN)

Eli G. Pale-Ramón1,
Yuriy S. Shmaliy2,
Luis J. Morales-Mendoza3
et al.

Abstract: This work presents an object tracking process using Kalman and UFIR filters, standard and modified for Colored Measurement Noise (CMN). UFIR CMN showed favorable results with no ideal conditions, and KF CMN for ideal conditions.

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