解决水下激光弱波和叠加波的方法
Chuanli Kang1,2, Zitao Lin1, Siyi Wu1
1College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
这项研究引入了一种改进的水下激光雷达波形分解方法,提高了检测弱和叠加激光回声信号的准确性. 新技术为水下地形绘制提供了更稳定,更精确的方法.
科学领域:
- 地理空间技术是什么?
- 光学远程传感器是一种远程传感器.
- 信号处理 信号处理
背景情况:
- 激光雷达技术可以检测水下地形,但信号分辨率仍然具有挑战性.
- 水下激光回声信号容易产生弱波和叠加波,使分析复杂化.
- 现有的波形分解方法对于复杂的水下信号是无效的,导致数据错误.
研究的目的:
- 开发一种改进的波形分解方法,用于水下激光雷达信号.
- 为了提高水下地形检测的准确性和稳定性.
- 为了解决处理弱和叠加的水下激光回声信号的局限性.
主要方法:
- 使用带有532nm激光的无人机进行池地形检测.
- 为参数估计提出了一种改进的转折点选择分解方法.
- 应用了振荡粒子群集优化 (OPSO) 和莱文伯格-马卡特 (LM) 算法来进行参数优化.
主要成果:
- 与其他方法相比,拟议的方法在RMSE值为2.544和R2值为0.995975时表现出优异的性能.
- 优化的参数导致波形与原始信号密切匹配.
- 模拟复杂波形的分解产生了0.0016的RMSE和1的R2,高斯元件完全代表了原始波形.
结论:
- 改进的拐点选择分解方法对于水下激光雷达波形分析具有高度准确性和稳定性.
- 该方法有效处理复杂的波形,包括弱信号和叠加信号,性能优于现有技术.
- 该研究提供了一个强大的解决方案,用于使用激光雷达技术准确地检测水下地形.
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