NDLI: Accurate 3D localisation of mobile target using single station with AoA

Content Provider	IET Digital Library
Author	Zhao, Yuexin Qi, Wangdong Liu, Peng Chen, Longliang Lin, Jie
Abstract	An attractive and challenging problem in source localisation is to locate a target in three-dimensional (3D) space using a single station. To satisfy the observability requirements and achieve higher accuracy, the authors draw on the idea of the inverse synthetic aperture radar for single-station localisation, which leverages the mobility of target and a time serial measurements of angle of arrival (AoA) and time difference of arrival (TDoA). A closed-form pseudo-linear estimator (PLE) is developed to estimate both 3D position and velocity of mobile target through the linearisation of AoA–TDoA measurement equations. Furthermore, to suppress the large bias of PLE caused by the correlation of measurement noise, the authors propose a superior bias-reduced estimator (BRE), which imposes a quadratic constraint to minimise the noise correlation term. They prove that BRE is asymptotically efficient, attaining the Cramér-Rao lower bound (CRLB) over the moderate noise region. Extensive simulations show that both bias and mean square error of BRE are well predicted by theoretical analysis. Most importantly, in comparison with both PLE and two traditional bias reduction methods, namely weighted total least squares and weighted instrumental variables, BRE can approach the CRLB over a wider noise region and maintain a lower bias.
Starting Page	954
Ending Page	965
Page Count	12
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 6, Jun (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2019.0600
Journal	IET Radar, Sonar & Navigation
Publisher Date	2020-02-27
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Accurate 3D Localisation AoA–TDoA Measurement Equations AoA–TDoA Measurements Attractive Problem Closed-form Pseudolinear Estimator Cramér-Rao Lower Bound Direction of Arrival Estimation Estimation Theory Interpolation And Function Approximation Inverse Synthetic Aperture Radar Least Squares Approximation Lower Bias Maximum Likelihood Estimation Mean Square Error Method Measurement Noise Mobile Target Moderate Noise Region Noise Correlation Term Numerical Analysis Observability Requirements Optical, Image And Video Signal Processing PLE Radar Equipment Radar Imaging Signal Processing And Detection Single Station Single-station Localisation Source Localisation Statistics Superior Bias-reduced Estimator Synthetic Aperture Radar System And Application Three-dimensional Space Time Difference Time-of-arrival Estimation Traditional Bias Reduction Method Wider Noise Region
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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