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<p>Unmanned aerial vehicles (UAVs) are crucial in various sectors but face challenges in communication reliability. This paper introduces a cutting-edge UAV communication control system, designed using time-series synthetic aperture radar interferometry (InSAR) technology and support vector machine (SVM) classification. Our findings reveal exceptional communication link performance across multiple flight scenarios, notably achieving a bit error rate (BER) of 0.001% in cruising mode. Additionally, the system demonstrated remarkable reception sensitivity, closely aligning with theoretical predictions at −81.1 dBm. This innovative approach utilizes multi-source remote sensing to significantly enhance UAV communication, offering a novel strategy for addressing UAV communication dilemmas.</p>
</abstract>

Unmanned aerial vehicles (UAVs) are crucial in various sectors but face challenges in communication reliability. This paper introduces a cutting-edge UAV communication control system, designed using time-series synthetic aperture radar interferometry (InSAR) technology and support vector machine (SVM) classification. Our findings reveal exceptional communication link performance across multiple flight scenarios, notably achieving a bit error rate (BER) of 0.001% in cruising mode. Additionally, the system demonstrated remarkable reception sensitivity, closely aligning with theoretical predictions at −81.1 dBm. This innovative approach utilizes multi-source remote sensing to significantly enhance UAV communication, offering a novel strategy for addressing UAV communication dilemmas.

Application of multi-source remote sensing technology in UAV communication control system

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Unmanned aerial vehicles (UAVs) are crucial in various sectors but face challenges in communication reliability. This paper introduces a cutting-edge UAV...

Application of multi-source remote sensing technology in UAV communication control system

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 02. Apr. 2024

Akzeptiert: 14. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1000

Schlüsselwörter
Unmanned aerial vehicle (UAV) communication control system, Multi-source remote sensing technology, Time-series synthetic aperture radar interferometry (InSAR), Support vector machine (SVM)

© 2024 Qingmei Lv, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Application of multi-source remote sensing technology in UAV communication control system

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 02. Apr. 2024

Akzeptiert: 14. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1000

SchlüsselwörterUnmanned aerial vehicle (UAV) communication control system, Multi-source remote sensing technology, Time-series synthetic aperture radar interferometry (InSAR), Support vector machine (SVM)

© 2024 Qingmei Lv, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Unmanned aerial vehicle (UAV) communication control system, Multi-source remote sensing technology, Time-series synthetic aperture radar interferometry (InSAR), Support vector machine (SVM)