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浅海随机相位起伏声场中速度估计的互谱分析方法
引用本文:邵云生,王 朋,黄 勇,刘纪元.浅海随机相位起伏声场中速度估计的互谱分析方法[J].应用声学,2015,34(6):501-508.
作者姓名:邵云生  王 朋  黄 勇  刘纪元
作者单位:海军驻无锡地区军事代表室 无锡,中科院声学研究所,中科院声学研究所,中科院声学研究所
摘    要:浅海条件下,目标运动速度是基于波导不变量声源被动定位的关键因素,利用浅海波导环境下的声场简正波理论,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,并通过声速剖面的二阶统计量对随机相位扰动进行了有效的补偿,提出利用波束域声场互相关信号进行谱分析的速度估计方法,仿真实验表明了该方法的有效性。利用2013年7月海试实验数据,该方法准确的估计出了目标的速度,并与GPS实测速度对比,速度估计的相对误差在10%以内。

关 键 词:速度估计  被动声纳测速  谱分析方法
收稿时间:4/9/2015 12:00:00 AM
修稿时间:2015/11/4 0:00:00

Velocity estimation by cross-spectral analysis in a random shallow water channel
Shao Yun-sheng,Wang Peng,Huang Yong and Liu Ji-yuan.Velocity estimation by cross-spectral analysis in a random shallow water channel[J].Applied Acoustics,2015,34(6):501-508.
Authors:Shao Yun-sheng  Wang Peng  Huang Yong and Liu Ji-yuan
Abstract: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 anlysisis 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.
Keywords:velocity estimation  passive sonar velocity estimation  spectral analysis
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