Abstract
Water level monitoring is critical for flood management, water resource allocation, and ecological assessment, yet traditional methods remain costly and limited in coverage. This work explores radar-based sensing as a low-cost alternative for water level estimation, leveraging its non-contact nature and robustness to environmental conditions. Commercial radar sensors are evaluated in real-world field tests, applying statistical filtering techniques to improve accuracy. Results show that a single radar sensor can achieve centimeter-scale precision with minimal calibration, making it a practical solution for autonomous water monitoring using drones and robotic platforms.
Abstract (translated)
水位监测对于洪水管理、水资源分配和生态评估至关重要，然而传统的监测方法仍然成本高昂且覆盖范围有限。本研究探索了基于雷达的传感技术作为低成本替代方案来估算水位，利用其非接触特性和对环境条件的强大适应能力。通过在实际现场测试中应用统计滤波技术来提高精度，对商用雷达传感器进行了评估。结果表明，单个雷达传感器可以实现厘米级精度，并且只需少量校准即可使用，使其成为无人机和机器人平台自主水位监测的实用解决方案。
URL
https://arxiv.org/abs/2601.03447
