The Bearings-only OF-MD Tracking Algorithm Based on Double Observers

DOI

10.2991/mecs-17.2017.115How to use a DOI?

Keywords

double observers, bearings-only tracking, CRLB, OF-MD, convergence

Abstract

Due to the measurement noise, the accuracy of the double observers' cross-location method is low. Based on the Fisher information matrix of the double observers, the Cram,r-Rao low bound (CRLB) of the double-observers bearings-only tracking is figured out, the proposed optimal fit matrix decomposition algorithm(OF-MD) is used to estimate target's position which do uniform linear motion. Finally, the convergence of the algorithm is compared with the CRLB in different noise cases by the means of simulation. With the increasing number of tracking points, the result is closer to the real target track.

Copyright

© 2017, 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  - Jianfei Ma
AU  - Bing Yan
PY  - 2016/06
DA  - 2016/06
TI  - The Bearings-only OF-MD Tracking Algorithm Based on Double Observers
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SP  - 83
EP  - 90
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.115
DO  - 10.2991/mecs-17.2017.115
ID  - Ma2016/06
ER  -