Martian Dust Storm Detection With THz Opportunistic Integrated Sensing and Communication in the Internet of Space (IoS)

This article presents the Mars Dust Storm Detector (MDSD). The system leverages terahertz (THz) signals between Mars surface assets for environmental sensing, particularly dust storm detection. MDSD exploits THz signal attenuation characteristics with Martian-specific models to monitor storm intensity and particle properties. We develop a link-budget analysis for reliable communication under dust conditions and design an orthogonal frequency division multiplexing (OFDM)-based waveform for joint sensing and communication. System performance is evaluated through numerical calculations at various node density factors (NDFs). Results show linear interpolation achieves correlation coefficients exceeding 0.90 at high NDFs. Nearest-neighbor and inverse distance weighting (IDW) algorithms maintain complete coverage in sparse networks. Error analysis identifies particle size uncertainty as the primary contributor to estimation errors, though the system remains resilient to atmospheric variations. We analyze computational complexity and document system limitations with mitigation strategies. This work extends integrated sensing and communications (ISACs) technology to planetary exploration, enhancing Mars atmospheric monitoring capabilities in the Internet of Space (IoS).

Authors

Publication Details

Journal
Apollo (University of Cambridge)
Published
2026-01-01
DOI
https://doi.org/10.17863/cam.124573
Primary Topic
Planetary Science and Exploration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Martian Dust Storm Detection With THz Opportunistic Integrated Sensing and Communication in the Internet of Space (IoS)

Özgür B. Akan, Haofan Dong
Apollo (University of Cambridge)
Planetary Science and Exploration
article

Martian Dust Storm Detection With THz Opportunistic Integrated Sensing and Communication in the Internet of Space (IoS)

Özgür B. Akan, Haofan Dong
article en

Abstract

This article presents the Mars Dust Storm Detector (MDSD). The system leverages terahertz (THz) signals between Mars surface assets for environmental sensing, particularly dust storm detection. MDSD exploits THz signal attenuation characteristics with Martian-specific models to monitor storm intensity and particle properties. We develop a link-budget analysis for reliable communication under dust conditions and design an orthogonal frequency division multiplexing (OFDM)-based waveform for joint sensing and communication. System performance is evaluated through numerical calculations at various node density factors (NDFs). Results show linear interpolation achieves correlation coefficients exceeding 0.90 at high NDFs. Nearest-neighbor and inverse distance weighting (IDW) algorithms maintain complete coverage in sparse networks. Error analysis identifies particle size uncertainty as the primary contributor to estimation errors, though the system remains resilient to atmospheric variations. We analyze computational complexity and document system limitations with mitigation strategies. This work extends integrated sensing and communications (ISACs) technology to planetary exploration, enhancing Mars atmospheric monitoring capabilities in the Internet of Space (IoS).

Apollo (University of Cambridge)
Climate action
Openalex Percentile: Top 90%
Planetary Science and Exploration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Martian Dust Storm Detection With THz Opportunistic Integrated Sensing and Communication in the Internet of Space (IoS) — Özgür B. Akan, Haofan Dong · Apollo (University of Cambridge) (2026) | TGRS Research Map | TGRS