Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering

A Novel Location Method for Multi-Target Based on the Maximum Likelihood Estimation

Authors
Xiantong Ma, Jingqing Luo
Corresponding Author
Xiantong Ma
Available Online April 2016.
DOI
10.2991/isaeece-16.2016.32How to use a DOI?
Keywords
maximum likelihood estimation; position information field; location; multi-target
Abstract

In the passive location system, the traditional maximum likelihood estimation (MLE) location method can’t eliminate larger error or wrong parameter automatically, and does not apply to multi-target situation. A novel location method named as position information field for target (PIFT) location method is proposed for multi-target based on the MLE location method. By adding a cost function, the PIFT location method can overcome the disadvantage of MLE location method mentioned above and adapt to the complex electromagnetic environment. It is suitable for the multi-target localization and determines target’s number and position simultaneously even the measured parameters of multi-target are indistinguishable. The effectiveness and adaptive of the proposed method is verified by computer experiments.

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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Volume Title
Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/isaeece-16.2016.32
ISSN
2352-5401
DOI
10.2991/isaeece-16.2016.32How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xiantong Ma
AU  - Jingqing Luo
PY  - 2016/04
DA  - 2016/04
TI  - A Novel Location Method for Multi-Target Based on the Maximum Likelihood Estimation
BT  - Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 154
EP  - 160
SN  - 2352-5401
UR  - https://doi.org/10.2991/isaeece-16.2016.32
DO  - 10.2991/isaeece-16.2016.32
ID  - Ma2016/04
ER  -