Direct Position Determination by Double Fixed Station Based on Delay and AOA

DOI

10.2991/caai-17.2017.101How to use a DOI?

Keywords

passive localization; direct position determination (DPD); maximum likelihood estimator (MLE); passive localization; time delay; angel of arrival (AOA)

Abstract

To improve location accuracy, a single-step localization algorithm by double fixed station, using the thought of "signal to position" is proposed to solve the problem of two-step conventional method's information loss, since two-step conventional method divides in estimating intermediate parameter and geolocation. First, the observed signal model is analyzed and problem's mathematical model is generalized. Next, the cost function is formulated based on maximum likelihood estimator (MLE) and simplified as the maximal eigenvalue of hermite matrix. Then, the geographical location maps in two-dimensional sector-grid based on angel of arrival (AOA), afterward, the algorithm process is introduced. Finally, simulation results demonstrated that the proposed DPD algorithm outperforms the two-step conventional algorithm in location accuracy, and when signal to noise ratio (SNR) of the same observed signals is -5dB, the root mean squared error (RMSE) of proposed algorithm reduce the errors of 47% in typical scene.

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  - Xiangyu Liu
AU  - Qing He
AU  - Zhengbo Sun
PY  - 2017/06
DA  - 2017/06
TI  - Direct Position Determination by Double Fixed Station Based on Delay and AOA
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 447
EP  - 450
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.101
DO  - 10.2991/caai-17.2017.101
ID  - Liu2017/06
ER  -