CHEN Gang~1, GAO Xian-zhi~2, ZHAO Wang-yang~1. Data processing for Doppler sonar based on wavelet transform[J]. 2006, (12): 9-11. DOI: 10.13873/j.1000-97872006.12.003.
基于小波变换的多普勒声纳数据处理研究
摘要
针对单脉冲短回波多普勒声纳信号的特点
提出了小波变换的多分辨力分析方法。利用了Dau-bech ies小波函数
采用了阈值去噪的方法
能够在低信噪比的情况下准确地估计多普勒声纳的频移
从含有噪声的多普勒提取出原始信号。通过仿真实验表明:小波分解的尺度有所增加
边界处的误差减小
滤波效果明显改善。第4层下重建信号的逼近误差已能够满足高精度导航系统中对于多普勒声纳的性能指标要求
即在惯性-多普勒声纳速度组合导航系统中
多普勒声纳提供的速度信息能够使组合系统的速度误差小于0.2 nm ile/h。
Abstract
In view of the chararcteristics of single-impulse short-echo Doppler sonar
a multi-resolution analyses method is presented based on wavelet transform.By using threshold decresasing noise
Doppler sonar’s frequency excursion can be estimated precisley with Daubechies wavelet function.The simulation resultes show that the scale of wavelet transform is increased to bring the boundary error decreasing and the filtering effect improving remarkably.The result with Daubechies waveler function in 4th scale can meet the required performance of high accuracy inertial navigation systerm(INS) and the velocity of the Doppler sonar makes error of the integer system’s velocity less than 0.2 nmile/h.