Antenna Array Calibration for IIoT Oriented Satellites: From Orthogonal CDMA to NOMA

Jianping An, Ke Wang, Shuai Wang*, Yujie Lin, Xiangyuan Bu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Modern Industrial Internet of Things (IIoT) is often designed to support geographically disperse nodes in large quantities. Satellites have unparalleled superiority in terms of coverage, making themselves ideal candidates as wide area IIoT access points. Antenna arrays (AAs) empower the satellites with beamforming capability, a key feature to accommodate various technical challenges of IIoT. In this survey, we are mainly focused on the calibration of spaceborne beamformers. We define the system model of the calibration tasks, and formulate the parameters of interest for the AAs and the beamforming network. Classic parallel calibration strategies for downlink AA based on orthogonal CDMA (OCDMA) are reviewed, and then extended to the on-ground, wired calibration of the BFN for improved efficiency and reduced manpower. By breaking the orthogonality among the calibrating signals, a new non-orthogonal multiple access (NOMA)-based calibration scheme is demonstrated to be M× more efficient than its OCDMA precedent without evident penalty in the calibration accuracy, where M is the number of array elements. We also report our latest progress on the NOMA-based co-channel transmission of the communication and the calibrating signals but without mutual interference. Prototypes and experimental scenarios are introduced. Theoretical analyses and computer simulations are further verified by hardware experiments.

Original languageEnglish
Article number9316437
Pages (from-to)28-36
Number of pages9
JournalIEEE Wireless Communications
Volume27
Issue number6
DOIs
Publication statusPublished - Dec 2020

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