Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

May 3, 2024


Pages


DOI

Article

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

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Authors

Qingmei Lv Affiliation:
Shaoxing University Yuanpei College, Shaoxing, Zhejiang, 312000, China.


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.


Keywords

Unmanned aerial vehicle (UAV) communication control system, Multi-source remote sensing technology, Time-series synthetic aperture radar interferometry (InSAR), Support vector machine (SVM), 03C98


Citation

Lv, Q. (2024). Application of multi-source remote sensing technology in UAV communication control system. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1000

Published by: Engineering Journals

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