Geolocation by Direction of Arrival Using Arrays With Unknown Orientation

It takes a great deal of care to accurately align direction of arrival (DOA) sensors to a reference direction. Any error in alignment degrades the localization accuracy of the entire system. We propose a method that enables the alignment using DOA measurements of arbitrary sources. This saves the ef...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2014-06, Vol.62 (12), p.3135-3142
Main Authors: Jean, Oren, Weiss, Anthony J.
Format: Article
Language:English
Subjects:
angle of arrival
Applied sciences
Cramér-Rao lower bound
Detection, estimation, filtering, equalization, prediction
direction of arrival
Direction-of-arrival estimation
Exact sciences and technology
Information, signal and communications theory
Localization
Magnetic sensors
maximum likelihood
Maximum likelihood estimation
Sensor arrays
Signal and communications theory
Signal, noise
Simulated annealing
Telecommunications and information theory
Vectors
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Summary:It takes a great deal of care to accurately align direction of arrival (DOA) sensors to a reference direction. Any error in alignment degrades the localization accuracy of the entire system. We propose a method that enables the alignment using DOA measurements of arbitrary sources. This saves the efforts to set and maintain the alignment by external means. To simplify the exhibition, it is assumed that the sensors and the sources are confined to a plane. The method is based on the maximum-likelihood estimator. The main challenge is the discontinuities in the cost function due to the circular nature of angle measurements. The proposed method is verified by simulations, and the performance is compared to lower bounds and also to systems with perfect alignment.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2014.2321109