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一种基于VMD-CPO-IWT算法的新型LiDAR回声信号排除方法
Jipeng Zha1, Xiangjin Zhang1, Tuan Hua2
1School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
一种新的VMD-CPO-IWT方法通过优化变化模式分解 (VMD) 参数,通过Crested Porcupine Optimizer (CPO) 和改进波段值 (IWT) 有效地拒绝了LiDAR回声信号. 这种方法显著提高了信号质量和准确性.
科学领域:
- 信号处理 信号处理
- 遥感技术 遥感技术 遥感技术
- 优化算法 优化算法
背景情况:
- 激光雷达回声信号容易产生噪音,降低检测质量和准确性.
- 优化信号处理技术的参数,如变量模式分解 (VMD) 是一个挑战.
- 现有的无声化方法很难有效地抑制LiDAR信号中的各种噪声频率.
研究的目的:
- 提出一种联合无声化方法 (VMD-CPO-IWT) 以提高LiDAR回声信号质量.
- 为了优化VMD参数,使用Crested Porcupine Optimizer (CPO) 进行自适应分解.
- 通过使用改进的波段值 (IWT) 来提高噪声抑制,以获得更好的信号保真.
主要方法:
- 变化模式分解 (VMD) 用于信号分解.
- 顶猪优化器 (CPO) 用于对VMD参数 (k,α) 的自适应优化.
- 沃斯斯坦距离用于内在模式功能选和改进波段值 (IWT) 进行最佳值确定.
主要成果:
- 在模拟和真实LiDAR信号方面,VMD-CPO-IWT方法表现出比WT-db4,EMD-DFA和VMD-WOA更好的性能.
- 在信号与噪声比 (SNR) 和根平均平方误差 (RMSE) 中取得了显著的改进.
- 对于25米的检测范围,SNR提高了13.64dB,RMSE降低了62.6%,对于实际的LiDAR回声信号.
结论:
- VMD-CPO-IWT方法提供了一种有效和实用的解决方案,用于拒绝LiDAR回声信号.
- 参数适应性CPO有效地解决了VMD参数选择挑战.
- 综合方法在低频和高频之间提供了强大的噪声抑制,提高了LiDAR数据的可靠性.
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