Semidefinite Programming Two-Way TOA Localization for User Devices With Motion and Clock Drift

نویسندگان

چکیده

In two-way time-of-arrival (TOA) systems, a user device (UD) obtains its position by round-trip communications to number of anchor nodes (ANs) at known locations. The objective function the maximum likelihood (ML) method for TOA localization is nonconvex. Thus, widely-adopted Gauss-Newton iterative solve ML estimator usually suffers from local minima problem. this paper, we convert original into convex problem relaxation, and develop new semidefinite programming (SDP) based moving UDs, namely SDP-M. Numerical result demonstrates that compared with method, which often fall minima, SDP-M always converge global optimal solution significantly reduces error more than 40%. It also has stable accuracy regardless UD movement, outperforms conventional stationary larger growing velocity.

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ژورنال

عنوان ژورنال: IEEE Signal Processing Letters

سال: 2021

ISSN: ['1558-2361', '1070-9908']

DOI: https://doi.org/10.1109/lsp.2021.3064755