Multi-Satellite Collaborative Signal Acquisition for Internet of Remote Things

This paper presents a novel non-coherent multi-satellite weak signal acquisition scheme by aggregating the observations at multiple 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 freque...

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Veröffentlicht in:IEEE internet of things journal 2023-10, p.1-1
Hauptverfasser: Yue, Pingyue, Ding, Haichuan, Wang, Shuai, An, Jianping, Fang, Yuguang
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Wang, Shuai
An, Jianping
Fang, Yuguang
description This paper presents a novel non-coherent multi-satellite weak signal acquisition scheme by aggregating the observations at multiple 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 multi-satellites 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 multi-satellite observations. Through extensive performance evaluation, we demonstrate that, in comparison with existing schemes, our proposed multi-satellite signal acquisition scheme can achieves significantly better acquisition performance with a much lower computational complexity.
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subjects Collaboration
collaborative reception
Correlation
Delays
Internet of Things
Low Earth Orbit (LEO) satellites
Low earth orbit satellites
Satellites
Spread spectrum communication
weak signal acquisition
title Multi-Satellite Collaborative Signal Acquisition for Internet of Remote Things
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