Decentralized Localization of Distributed Antenna Array Elements Using an Evolutionary Algorithm
Matthew J. Dula, Naim Shandi, Jeffrey A. Nanzer

TL;DR
This paper presents a decentralized method for localizing distributed antenna array elements using an evolutionary algorithm, enabling coherent operations like beamforming in complex environments with high precision.
Contribution
It introduces a novel combination of two-way time transfer, multidimensional scaling, and differential evolution to accurately localize array elements without direct link measurements.
Findings
Achieved a mean localization error of 0.82 mm in laboratory tests.
Supported distributed beamforming up to 24.3 GHz.
Demonstrated effective localization with 34 dB SNR.
Abstract
Distributed phased arrays have recently garnered interest in applications such as satellite communications and high-resolution remote sensing. High-performance coherent distributed operations such as distributed beamforming are dependent on the ability to synchronize the spatio-electrical states of the elements in the array to the order of the operational wavelength, so that coherent signal summation can be achieved at any arbitrary target destination. In this paper, we address the fundamental challenge of precise distributed array element localization to enable coherent operation, even in complex environments where the array may not be capable of directly estimating all nodal link distances. We employ a two-way time transfer technique to synchronize the nodes of the array and perform internode ranging. We implement the classical multidimensional scaling algorithm to recover a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAntenna Design and Optimization · Indoor and Outdoor Localization Technologies · Direction-of-Arrival Estimation Techniques
MethodsSparse Evolutionary Training
