Special Issue "Satellite Communication"

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 31 December 2020.

Special Issue Editor

Dr. Akram Al-Hourani
Website
Guest Editor
School of Engineering, RMIT University, Melbourne, 3000, Australia
Interests: wireless communications; signal processing; satellite and UAV communications; radar systems; the Internet-of-Things over satellite

Special Issue Information

Dear Colleagues,

With the increasing ubiquity of digital connectivity, our daily lives are becoming vitally dependent on swift access to the global network. No matter what business or activity we are running, having a broadband and reliable Internet access has become a necessity for modern economy. While most urbanized areas are well covered by broadband terrestrial cellular networks (4G and the upcoming 5G), the vast remote and regional areas still lack the adequate infrastructure for enabling digital transformation. With the recent advancement in satellite communication and the reduced launching costs, a whole paradigm is opened to fill the vast gap left by the limitations of terrestrial networks.

This Special Issue aims at bringing together multiple facets of next-generation satellite communication networks, systems and applications. In particular, it presents the recent developments in the fields of the Internet-of-Things over satellite, broadband satellite access, and the integration of next-generation terrestrial networks (5G) with satellite and UAV networks. To address these fields, the covered scope includes: shared spectrum access, antenna design, novel communication system architecture, the use of machine learning techniques for better satellite communications, intersatellite links, satellite optical links, interference mitigation, quantum key distribution, RF and electronics systems, signal processing algorithms, and satellite communication security.

Dr. Akram Al-Hourani
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

Open AccessArticle
Performance Modeling Framework for IoT-over-Satellite Using Shared Radio Spectrum
Remote Sens. 2020, 12(10), 1666; https://doi.org/10.3390/rs12101666 - 22 May 2020
Abstract
Delivering Internet-of-Things (IoT) connectivity over satellite is a promising solution for applications in remote and sparsely populated areas. These applications range from smart agriculture, logistics, asset tracking to emergency services. Using a shared radio spectrum with terrestrial services will facilitate a cost-effective and [...] Read more.
Delivering Internet-of-Things (IoT) connectivity over satellite is a promising solution for applications in remote and sparsely populated areas. These applications range from smart agriculture, logistics, asset tracking to emergency services. Using a shared radio spectrum with terrestrial services will facilitate a cost-effective and rapid deployment of IoT-over-Satellite since it reduces the administrative and financial hurdles of leasing a dedicated segment of the spectrum. Although IoT-over-Satellite communication provides larger service coverage, the vast number of IoT devices also increase the interference in the satellite uplink channel, and it becomes a significant challenge for the reliable performance of the IoT-over-satellite. In this paper, we propose a framework for modeling the performance of IoT-over-Satellite access systems when sharing the radio spectrum with terrestrial networks. We take into consideration several important aspects, namely; satellite orbit, terrestrial IoT devices uplink interference, atmosphere and gas absorption, and the probability of line-of-sight. The performance of the overall system is presented in terms of the uplink signal-to-interference-plus-noise ratio (SINR), and thus the time-availability of the satellite link during a typical pass. We focus on low earth orbit satellites due to their potential use in IoT applications, where we evaluate the framework using actual parameters of satellites located in 300–800 km orbits. Furthermore, the paper presents a numercial model to obtain the most suitable antenna beamwidth that maximizes the link-availability of the satellite link by the simultaneous reduction in the terrestrial interference and the boosting of the underlying IoT signal of interest. Full article
(This article belongs to the Special Issue Satellite Communication)
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Open AccessArticle
Using Heterogeneous Satellites for Passive Detection of Moving Aerial Target
Remote Sens. 2020, 12(7), 1150; https://doi.org/10.3390/rs12071150 - 03 Apr 2020
Abstract
Passive detection of a moving aerial target is critical for intelligent surveillance. Its implementation can use signals transmitted from satellites. Nowadays, various types of satellites co-exist which can be used for passive detection. As a result, a satellite signal receiver may receive signals [...] Read more.
Passive detection of a moving aerial target is critical for intelligent surveillance. Its implementation can use signals transmitted from satellites. Nowadays, various types of satellites co-exist which can be used for passive detection. As a result, a satellite signal receiver may receive signals from multiple heterogeneous satellites, causing difficult in echo signal detection. In this paper, a passive moving aerial target detection method leveraging signals from multiple heterogeneous satellites is proposed. In the proposed method, a plurality of direct wave signals is separated in a reference channel first. Then, an adaptive filter with normalized least-mean-square (NLMS) is adopted to suppress direct-path interference (DPI) and multi-path interference (MPI) in a surveillance channel. Next, the maximum values of the cross ambiguity function (CAF) and the fourth order cyclic cumulants cross ambiguity function (FOCCCAF) correspond into each separated direct wave signal and echo signal will be utilized as the detection statistic of each distributed sensor. Finally, final detection probabilities are calculated by decision fusion based on results from distributed sensors. To evaluate the performance of the proposed method, extensive simulation studies are conducted. The corresponding simulation results show that the proposed fusion detection method can significantly improve the reliability of moving aerial target detection using multiple heterogeneous satellites. Moveover, we also show that the proposed detection method is able to significantly improve the detection performance by using multiple collaborative heterogeneous satellites. Full article
(This article belongs to the Special Issue Satellite Communication)
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