摘要
针对水下高速运动目标的主动探测问题,引入了Dopplerlet变换。根据运动目标回波的特点提出了主动Dopplerlet原子,并分析了基于主动Dopplerlet变换的自适应匹配塔形分解算法,克服了Dopplerlet变换在被动信号处理中声源频率变化引起误差增大的问题。将算法应用于高斯白噪声和高斯色噪声背景中运动目标的检测和速度距离的估计,取得了较好的结果。
Dopplerlet transform is introduced for active detection of underwater fast-moving object. According to the echo characteristics of moving targets, initiative Dopplerlet atom is proposed, and the matching pursuit algorithm based on initiative Dopplerlet Transform is analyzed. The algorithm overcomes error problem caused by frequency changes in Dopplerlet transform used for the passive acoustic signal processing. Finally, the algorithm is applied to detecting fast-moving target and estimating its speed and range in the background of white Gaussian noise and colored Gaassian noise, and has achieved good results.
出处
《声学技术》
CSCD
北大核心
2008年第5期736-740,共5页
Technical Acoustics