Knobles D P
Applied Research Laboratories, University of Texas at Austin, Austin, Texas 78713, USA.
J Acoust Soc Am. 2015 Dec;138(6):3563-75. doi: 10.1121/1.4936907.
The received acoustic field generated by a single passage of a research vessel on the New Jersey continental shelf is employed to infer probability distributions for the parameter values representing the frequency dependence of the seabed attenuation and the source levels of the ship. The statistical inference approach employed in the analysis is a maximum entropy methodology. The average value of the error function, needed to uniquely specify a conditional posterior probability distribution, is estimated with data samples from time periods in which the ship-receiver geometry is dominated by either the stern or bow aspect. The existence of ambiguities between the source levels and the environmental parameter values motivates an attempt to partially decouple these parameter values. The main result is the demonstration that parameter values for the attenuation (α and the frequency exponent), the sediment sound speed, and the source levels can be resolved through a model space reduction technique. The results of this multi-step statistical inference developed for ship radiated noise is then tested by processing towed source data over the same bandwidth and source track to estimate continuous wave source levels that were measured independently with a reference hydrophone on the tow body.
一艘研究船单次通过新泽西大陆架时产生的接收声场，被用于推断代表海底衰减频率依赖性和船舶源级的参数值的概率分布。分析中采用的统计推断方法是最大熵方法。唯一确定条件后验概率分布所需的误差函数的平均值，是通过船舶-接收器几何形状由船尾或船头方向主导的时间段的数据样本估计得出的。源级和环境参数值之间存在模糊性，这促使人们尝试部分解耦这些参数值。主要结果是证明了衰减（α和频率指数）、沉积物声速和源级的参数值可以通过模型空间缩减技术来解析。然后，通过处理相同带宽和源轨迹上的拖曳源数据来测试为船舶辐射噪声开发的这种多步统计推断的结果，以估计用拖体上的参考水听器独立测量的连续波源级。
