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中文核心期刊

朱维庆, 冯雷, 王长红, 汪玉玲, 邱薇. 声相关载体速度测量理论和信号处理方法[J]. 声学学报, 2006, 31(4): 289-296. DOI: 10.15949/j.cnki.0371-0025.2006.04.001
引用本文: 朱维庆, 冯雷, 王长红, 汪玉玲, 邱薇. 声相关载体速度测量理论和信号处理方法[J]. 声学学报, 2006, 31(4): 289-296. DOI: 10.15949/j.cnki.0371-0025.2006.04.001
ZHU Weiqing, FENG Lei, WANG Changhong, WANG Yuling, QIU Wei. Theory and signal processing of acoustic correlation techniques for velocity measurement of vessel[J]. ACTA ACUSTICA, 2006, 31(4): 289-296. DOI: 10.15949/j.cnki.0371-0025.2006.04.001
Citation: ZHU Weiqing, FENG Lei, WANG Changhong, WANG Yuling, QIU Wei. Theory and signal processing of acoustic correlation techniques for velocity measurement of vessel[J]. ACTA ACUSTICA, 2006, 31(4): 289-296. DOI: 10.15949/j.cnki.0371-0025.2006.04.001

声相关载体速度测量理论和信号处理方法

Theory and signal processing of acoustic correlation techniques for velocity measurement of vessel

  • 摘要: 研究了测量水中载体相对于海底速度的相关测速理论和信号处理方法。在速度存在随机分量的情形下,获得了在夫琅和费区域内适用的声呐阵时空相关函数,它是由零阶、一阶和二阶贝塞尔函数组成,波形不变原理能良好地成立,这是相关测速的理论模型。提出了局域最小二乘估计作为速度估计准则,采用序列二次规划法作为最优化的方法,由此建立了声相关测速的信号处理方法。在深海进行了多次系统试验,实验数据与理论模型基本符合;检验了深海3560 m水深时的闭环试验测速误差;进行了变速试验和漂泊试验,上述性能均为优良。最后给出了声相关速度计程仪(CVL)与GPS的线性回归分析,它们之间有良好的相关性。CVL均方根误差不大于(1.4%v+3) cm/s,其中v为航速。

     

    Abstract: The theoretical model and signal processing of correlation measurements to estimate the velocity of a vessel relative to the bottom are discussed. With the random component of velocity considered, the sonar array space-time correlation function of bottom reverberations within Fraunhofer zone is derived. It is the theoretical model of acoustic correlation measurements, which is composed of zero order, first order and second order Bessel function. By the model,'wave invariance' can be well described. Localized Least Mean Squares (LLMS) criterion is put forward for velocity estimation. Sequential Quadratic Programming (SQP) method is adopted as the optimization method. So the systematic signal processing method for acoustic correlation measurements is established. A prototype Correlation Velocity Log (CVL) underwent several deep sea trials, the results show that theoretical model approximately coincides with experimental data. Square loop tracklines of the ship in 3560 m deep area were adopted to inspect its velocity estimate error. Varying velocity cruise test and drifting test were also carried out. The CVL performed well in these tests. A least squares linear regression analysis shows a significant correlation between the speeds of CVL and those of GPS. The Root-Mean-Square (RMS) error of the velocities of CVL is less than (l.4%v + 3)cm/s, where v is the velocity of vessel.

     

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