Multisatellite Collaborative Signal Acquisition for Internet of Remote Things

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)10425-10440
Number of pages16
Journal / PublicationIEEE Internet of Things Journal
Volume11
Issue number6
Online published24 Oct 2023
Publication statusPublished - 15 Mar 2024

Abstract

This article presents a novel noncoherent multisatellite weak signal acquisition scheme by aggregating the observations at multiple low-Earth orbit (LEO) satellites. Existing aggregation schemes rely on exhaustive search over grids on Earth surface to compensate for the differences in the delay and the Doppler frequency shift experienced at different satellites, which have high-computational complexity due to the wide coverage of LEO satellites. Motivated by this observation, we propose to directly work with satellites’ time-frequency (TF) grid and facilitate efficient delay and Doppler compensation by gradually narrowing down the search space over each satellite’s TF grid with multisatellites observations. Our scheme employs geometric search space reduction scheme to reduce the search space for possible Doppler frequency shift and utilizes hierarchical geometric correlation peak matching to eliminate fake correlation peaks based on multisatellite observations. Through extensive performance evaluation, we demonstrate that, in comparison with existing schemes, our proposed multisatellite signal acquisition scheme can achieves significantly better acquisition performance with a much lower computational complexity. © 2023 IEEE.

Research Area(s)

  • Collaboration, collaborative reception, Correlation, Delays, Internet of Things, Low Earth Orbit (LEO) satellites, Low earth orbit satellites, Satellites, Spread spectrum communication, weak signal acquisition, Internet of Things (IoT)

Citation Format(s)

Multisatellite Collaborative Signal Acquisition for Internet of Remote Things. / Yue, Pingyue; Ding, Haichuan; Wang, Shuai et al.
In: IEEE Internet of Things Journal, Vol. 11, No. 6, 15.03.2024, p. 10425-10440.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review