@inproceedings{2d5908dc22474ede8e65d000467a6ffc,
title = "Selection method of terrain matching area for TERCOM algorithm",
abstract = "The performance of terrain aided navigation is closely related to the selection of terrain matching area. The different matching algorithms have different adaptability to terrain. This paper mainly studies the adaptability to terrain of TERCOM algorithm, analyze the relation between terrain feature and terrain characteristic parameters by qualitative and quantitative methods, and then research the relation between matching probability and terrain characteristic parameters by the Monte Carlo method. After that, we propose a selection method of terrain matching area for TERCOM algorithm, and verify the method correctness with real terrain data by simulation experiment. Experimental results show that the matching area obtained by the method in this paper has the good navigation performance and the matching probability of TERCOM algorithm is great than 90\%.",
keywords = "Matching area selection, TERCOM algorithm, Terrain aided navigation, Terrain feature",
author = "Qieqie Zhang and Long Zhao",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Applied Optics and Photonics China: 3D Measurement Technology for Intelligent Manufacturing, AOPC 2017 ; Conference date: 04-06-2017 Through 06-06-2017",
year = "2017",
doi = "10.1117/12.2281698",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Asundi, \{Anand Krishna\} and Huijie Zhao and Wolfgang Osten",
booktitle = "AOPC 2017",
address = "美国",
}