南京大学学报(自然科学版) ›› 2012, Vol. 48 ›› Issue (5): 609–615.

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 浅海信道条件下的多径被动定位

 陈励军,高翔,安良
  

  • 出版日期:2015-07-06 发布日期:2015-07-06
  • 作者简介: (东南大学水声信弓处理教育部重点实验室,南京,210096)
  • 基金资助:
     National Natural Science Foundation o1 China(11104029)

 Multipath passive localization in shallow water channel*

 Chen Li一Jun**,Gao Xiang,An Liang   

  • Online:2015-07-06 Published:2015-07-06
  • About author: (Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education
    Southeast University, Nanjing, 210096,China)

摘要:  浅海信道条件下的水声信道是一个复杂多径信道.对于传统的声纳信号处理来说的,多径信号是一种主要的干扰源.在基于时间延迟估计技术的被动定位方法中,基木的时延估计方法是互相关法.由于信号多径结构的存在,使得在水听器接收信号的互相关函数中,存在多个与若干路径对应的相关峰.因此在进行相关峰检测时,常
发生相关峰模糊问题,导致时延估计出现误差甚至错误.但在这种多径信道中,若能估计出水面、水底相对于直达路径的时间延迟,并能同时获得声速垂直剖面、海深、接收深度等声学环境参数,我们就有可能计算出辐射声源的位置及深度.为此木文提出一种基于单水听器的噪声目标被动定位方法,该方法首先从接收信号的倒谱瀑布图中跟踪和提取水面或水底路径的时延,然后结合海深、水听器深度等信息估计出目标的斜距和深度.木文从理论上分析了估计器的性能,推导了斜距偏差和斜距方差的表达式.分析表明距离估计偏差与声速垂直梯度有密切关系,距离估计方差主要受多径时延估计精度影响.木文通过仿真计算了四种负梯度(0. 1s-1~0.4s-1)条件下的定位偏差,以及不同时延估计精度下的距离估计方差.为了验证木文所提定位方法的有效性,进行了海上试验验证.试验中噪声目标是一个宽带发射换能器,中心频率5kHz,带宽5kHz,发射伪随机噪声连续信号,谱级约为140 dB (re;1µPa).用一只水听器接收目标辐射噪声信号,并保存在计算机中进行后续处理.试验中用CPS同步记录发射船和接收船位置.试验结果表明木文所提方法能很好地估计出声源的距离和深度,距离结果与CPS数据能很好吻合.

Abstract:  In shallow-water acoustic channel,multipaths caused by reflections of ocean surface and bottom arc very serious.The correlated multipath returns cause unwanted peaks in the cross-correlation output of receivers.There peaks introduce performance degradation of passive localization estimator
based on time-delay estimation. Multipath signal becomes the dominant interference in traditional sonar signal processing. But if surface path or bottom path to direct path time delay could be estimated from received signal,and ocean acoustic parameters such as sound speed profile(SSP) and sea depth were
obtained,then it is possible to estimate source range and depth, In this paper, an effective method based on cepstrum is proposed which using a single hydrophone to separate surface or bottom multipath time- delay out from the cepstrogram of received signal.There multipath time-dclays are then used to estimate
sonrce rank and depth.To analyze the localization algorithm performance theoretically, slant rank bias and root-mean-square error expressions are derived. It can be found from the expressions that range estimation hias and root mean-square error are the function of surface delay, bottom delay, ocean depth,
source depth and receiver depth, It is difficult to find out the relationship between rank and SSP directly from the expression.To explore the SSP influence on localization algorithm, computer simulations are carried out. Four negative SSP gradicnt values varying from 0. 1 s-1 to 0.4s-1 are considered. From the
simulation results it is shown that rank bias relics strongly on SSP gradient value. At the same time root-mean-square error of slant rank is calculated statistically by Monte-Carlo simulation under different  multipath time delay estimation accuracies.It can be seen that root-mean-square error of slant range is
mainly influenced by multipath time delay estimation error. Sea trial was conducted to verify the effectiveness of the multipath passive localization method proposed in this paper. Acoustic target is a wide hand random noise source with spectrum level of about 140 dB@4 kHz(re:1µPa). A single
hydrophone collected the radiated noise and stored data in a computer for further processing. Acoustic ambient parameters during sea trial such as SSP,ocean depth and hydrophone depth were obtained.The UPS values of target and hydrophone were recorded simultaneously with acoustic data.The result of sea
trial shows that acoustic source range and depth arc estimated successfully by the method proposed in this paper.

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