矢量垂直阵的物体深度辨识研究  

Depth Estimation of Objects with Vector Vertical Array

作　　者：张璐[1,2] 黄勇[1] 李文军[1] 高善国[1] 田杰[1] 吴晓潭[1,2] 

机构地区：[1]中国科学院声学研究所,北京100190 [2]中国科学院大学,北京100190

出　　处：《信号处理》2016年第4期388-394,共7页Journal of Signal Processing

摘　　要：为有效对水面物体、水下物体实现深度判决,研究了利用垂直布设的矢量水听器组的声压和水平振速互谱函数有功分量的正负号进行判决的方法,该方法适用于变声速环境的浅海甚低频(VLF)声场物体深度辨识。依据在波导中只存在两阶简正波的条件,分析水域深度与探测频率范围的关系,并就几种不同声速剖面情况进行仿真分析。对千岛湖水声试验中的数据进行处理,辨识结果和实际深度符合良好,正确率80%及以上。The existing vibration and noise reduction technology still can not eliminate the radiated noise in Very Low Frequency band,so underwater targets will usually have explicit line spectrum. In order to distinguish surface and underwater targets effectively,an approach was derived,which utilized reactive component signum of the pressure and horizontal velocity cross spectra of vertical vector receiver array. This depth estimation technology can be used in the shallow ocean Very Low Frequency（ VLF） acoustic environment with shifty sound velocity. Under the condition of two normal modes,the relationship of water depth and detected frequency range was presented in this paper. Simulation under different sound velocity environment was analyzed also. The signal data collected in the Qiandao Lake water acoustic experiment were analyzed.The estimation results are in good agreement with the measured,and the accuracy rate is more than 80%.

关 键 词：深度辨识 甚低频(VLF) 有功分量 互谱函数 

分 类 号：O427.9[理学—声学]