A New Robust Multi-station TDOA Localization Algorithm

DOI

10.2991/caai-17.2017.84How to use a DOI?

Keywords

TDOA; passive localization; Modified Singular Value Decomposition(MSVD); robust estimation; localization algorithm

Abstract

During the multi-station TDOA Localization, instable or divergent positioning evaluation result, even invalid situation will occur caused by unreasonable sensor allocation, and analyzes the causes of ill-condition in traditional TDOA localization algorithm Therefore, this paper puts forward a kind of stable positioning method based on singular value decomposition modification. The method doesn't require the station allocation greatly and could consider the resolution and variance assessed by positioning parameter effectively. It realizes effective inhibition to the random observation noise in the observation equation and has better engineering application value. The value simulation result indicates the positioning result is more precise and stable than traditional calculating method.

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  - Jianghuai Pan
PY  - 2017/06
DA  - 2017/06
TI  - A New Robust Multi-station TDOA Localization Algorithm
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 370
EP  - 374
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.84
DO  - 10.2991/caai-17.2017.84
ID  - Pan2017/06
ER  -