Mitigating Sensor Motion Effect for AOA and AOA-TOA Localizations in Underwater Environments

The motion of sensors during the measurement period, if not accounted for, can degrade significantly the localization accuracy. This paper investigates the sensor motion effect for the positioning of an object, using angles of arrival only or together with time of arrival measurements. The biases fr...

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Bibliographic Details
Published in:IEEE transactions on wireless communications Vol. 22; no. 9; pp. 6124 - 6139
Main Authors: Jia, Tianyi, Liu, Hongwei, Ho, K. C., Wang, Haiyan
Format: Journal Article
Language:English
Published: New York IEEE 01.09.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Angle of arrival (AOA)
AOA-time of arrival (TOA)
Atmospheric measurements
Bias
bias analysis
Closed form solutions
closed-form solution
Exact solutions
Localization
Location awareness
Motion effects
Particle measurements
Position measurement
Random noise
Sea measurements
Semidefinite programming
semidefinite programming (SDP)
sensor motion effect
Time measurement
ISSN:1536-1276, 1558-2248
Online Access:Get full text
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Summary:The motion of sensors during the measurement period, if not accounted for, can degrade significantly the localization accuracy. This paper investigates the sensor motion effect for the positioning of an object, using angles of arrival only or together with time of arrival measurements. The biases from the AOA and TOA data models when ignoring the motion effect are examined. Positioning algorithms for AOA localization and mixed AOA-TOA localization that account for the motion effect are developed by the pseudo-linear formulation. The algorithms derived include the computationally attractive closed-form estimators and the noise resilient semidefinite programming solutions. The bias coming from the pseudo-linear formulation is analyzed in detail, and it can be subtracted from the closed-form solution to obtain a bias-suppressed estimate. Simulation validates the effectiveness of the proposed solutions in achieving the CRLB performance under Gaussian noise before the thresholding effect occurs.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2023.3239544