Target Tracking with Random Time-delay Measurements

DOI

10.2991/icmemtc-16.2016.265How to use a DOI?

Keywords

target tracking; delayed measurements; Kalman Filter; current state; Monte Carlo simulations.

Abstract

The problem of target tracking with the delayed measurements is investigated in this paper. In many practical applications, the measurements may be randomly delayed. In these cases, the standard Kalman Filter cannot be used directly to estimate current states. A novel algorithm based on the delayed measurement is proposed to estimate the current states. In the algorithm, the equivalent delayed measurement is presented as a function of the current state. Then the Kalman Filter which the process noise and the measurement noise are correlative has been deduced. Monte Carlo simulations have been designed and the results verify the effectiveness of the algorithm.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jue Huang
AU  - Bing Yan
AU  - Dong Li
PY  - 2016/04
DA  - 2016/04
TI  - Target Tracking with Random Time-delay Measurements
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1356
EP  - 1361
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.265
DO  - 10.2991/icmemtc-16.2016.265
ID  - Huang2016/04
ER  -