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Analysis of the significantly statistical duration to clarify the uncertainty of ambient noises due to environmental changes

机译:分析显着统计持续时间,以澄清因环境变化而导致的环境噪声的不确定性

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The ambient noise is very important in prediction systems of sonar performance, because it determines the detection ranges always in passive sonar and usually in active sonar. In the uncertainty issue for sonar performance, it's necessary to know this factor's statistical characteristics that are only obtained by data processing from the measurement data. So this study first presents the statistically analyzed results from the ambient noise data in the South China Sea experiment of ASIAEX (Asian Seas International Acoustics Experiment) in 2001. The vertical line array was deployed on May 2-18 in a depth of 124 m on the continental-shelf. The statistical results include the mean and standard deviations of noise levels in both of high and low frequency bands. These statistics are then correlated with the environmental factors, such as surface wind speeds, wave heights and shipping densities. The correlations of noise levels and environmental factors are obtained in various periods of one hour, 4 hours, and 24 hours. But the time spans of periods are selected subjectively; it may neglect factors of shorter durations in such processing. This paper presents the analysis of the statistical duration for various factors affecting ambient noise, such as high/low sea states, different frequency bands, and noise bandwidth. The probability density function of noise levels is assumed a normal distribution in the test model, so the effective confidence level is used for testing and determining the significant statistical duration (i.e. confidence time). Finally, the results provide the uncertain characteristics of noise levels in the South China Sea. For example, the confidence time frequently occurs few hours are noise level in 1k Hz at low sea states and in 100 Hz. The confidence time of noise level in 1k Hz may arise over few days at high sea states.
机译:环境噪声在声纳性能的预测系统中非常重要,因为它决定了始终在被动声纳中的检测范围,通常在活动的声纳中。在声纳绩效的不确定性问题中,有必要知道该因子仅通过从测量数据处理获得的统计特征。因此,本研究首先提出了2001年南海南海实验中的环境噪声数据的统计分析结果。垂直线阵列于5月2日至18日,深度为124米大陆架。统计结果包括高频率和低频带中的噪声水平的平均值和标准偏差。然后,这些统计数据与环境因素相关,例如表面风速,波浪高度和运输密度。噪声水平和环境因素的相关性在一小时,4小时和24小时的各个时期获得。但是主观选择时期的时间跨度;它可能会忽略这种处理中较短持续时间的因素。本文介绍了影响环境噪声的各种因素的统计持续时间的分析,例如高/低海态,不同频带和噪声带宽。在测试模型中假设噪声水平的概率密度函数在正态分布中,因此有效置信水平用于测试和确定显着的统计持续时间(即置信时间)。最后,结果提供了南海噪声水平的不确定特征。例如,频繁发生的令人信心时间几个小时是在低海态的1K Hz中的噪声水平和100 Hz。在高海州的几天内,1K Hz中噪音水平的置信度可能会出现。

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