A Local Distance Feature Extraction Based Shortwave Direction Finding Cross Location Algorithm

DOI

10.2991/jimet-15.2015.81How to use a DOI?

Keywords

shortwave location algorithm, local feature extraction, direction finding.

Abstract

This paper innovatively proposes a local distance feature based shortwave direction finding cross location algorithm. The proposed algorithm is accomplished by setting one principle direction finding station and extracting the local distance feature in the first localization results. The azimuth subset is created considering the local distance feature and the principle direction finding station. The measured results show that compared to the traditional cross location algorithm, the proposed local distance feature extraction based location algorithm increases the location accuracy and decrease the location error.

Copyright

© 2015, 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  - Xi Shen
AU  - Jie Zhu
AU  - Dayong Liu
AU  - Xiaofei Zhang
PY  - 2015/12
DA  - 2015/12
TI  - A Local Distance Feature Extraction Based Shortwave Direction Finding Cross Location Algorithm
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 431
EP  - 435
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.81
DO  - 10.2991/jimet-15.2015.81
ID  - Shen2015/12
ER  -