Paper Info
Title
Robust Direct position determination against sensor gain and phase errors with the use of calibration sources
Abstract
The direct position determination (DPD) method can provide high localization performance than conventional two-step localization methods. However, the existing DPD methods only consider the scenario of parameters of the receiving arrays, and the localization performance decreases dramatically when the array model is inaccurate in practice. This paper studies the problem for positioning a stationary emitter in the presence of sensor gain and phase errors (SGPEs) aided by calibration sources. To remove these negative effects caused by SGPEs, calibration sources with known positions are introduced. The extended relationship between parameters of calibration sources and errors is used to establish a structural objective function based on the maximum likelihood estimate. The calibration parameters are jointly optimized with target-related parameters and an alternating iterative algorithm is then developed to decouple the multidimensional search into several low-dimensional optimizations. We also derive the Cramer-Rao bound (CRB) to evaluate the performance of the proposed method. Simulation results demonstrate that the proposed method outperforms the existing DPD methods and two-step methods, which incorporates the error information, and the accuracy attains the associated CRB.
Year
DOI
Venue
2020
10.1007/s11045-020-00716-1
MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
Keywords
DocType
Volume
Source localization,Direct position determination (DPD),Calibration sources,Sensor gain and phase errors (SGPEs),Maximum likelihood (ML) estimate criteria,Angle of arrival (AOA),Time difference of arrival (TDOA),Cramer-Rao bound (CRB)
Journal
31.0
Issue
ISSN
Citations 
4
0923-6082
1
PageRank 
References 
Authors
0.36
0
4
Name
Order
Citations
PageRank
Zeyu Yang110.36
Ding Wang23713.33
Bin Yang3276.06
Fushan Wei414119.39