浅海随机相位起伏声场中速度估计的互谱分析方法  

Velocity estimation by cross-spectral analysis in a random shallow water channel

作　　者：邵云生 王朋[2,3] 黄勇[2] 刘纪元[2] 

机构地区：[1]海军驻无锡地区军事代表室,无锡214000 [2]中国科学院声学研究所,北京100190 [3]中国科学院大学,北京100049

出　　处：《应用声学》2015年第6期501-508,共8页Journal of Applied Acoustics

基　　金：预研项目资助(4010201040201);国家"863"计划项目(2012AA091004);国家自然科学基金项目(10904160)

摘　　要：浅海条件下,目标运动速度是基于波导不变量运动声源被动定位的关键因素,利用浅海波导环境中声场简正波理论,研究了浅海随机相位起伏的波束域声场互相关信号的特点,通过声速剖面二阶统计量对随机相位扰动进行有效补偿,提出目标速度估计的波束声场互谱分析方法,仿真实验表明了该方法的有效性。采用该方法对2013年7月海试实验数据进行处理估计目标速度,与GPS实测速度对比,相对误差在10%以内,速度估计准确。In shallow water, the velocity of moving target is very important to estimate the target rang based on waveguide invariant. With the normal mode signal model in shallow water waveguide, given the characteristic of correlation of beam signal in a random shallow water channel, the second-order statistics of the random range-dependent sound-speed profile was used to compose the phase perturbation. The method of velocity estimation with cross-spectral analysis is to beam signal is presented. Results of numerical simulation demonstrate that the method can effectively estimate underwater moving target velocity. With this method, the velocity of source is estimated accurately using the ocean trail data in July 2013. The maximum relative error of velocity estimation is smaller than 10% compared with the velocity measured by GPS.

关 键 词：速度估计 被动声纳测速 互谱分析方法 

分 类 号：U666.7[交通运输工程—船舶及航道工程]