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Using Post analysis of a noise sample stream in place of noise monitor based thresholds in the detection of aircraft noise

机译：在飞机噪声检测中，使用噪声样本流的后期分析代替基于噪声监控器的阈值

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Aircraft noise monitoring systems typically use a fixed threshold on noise monitors for varying times of the day to define what periods of time are to be analysed as possible aircraft noise events. The setting of thresholds leads to significant drawbacks in the continuous measurement of aircraft noise such as: 1. Missed aircraft noise due to the threshold being above quieter aircraft levels 2. Non aircraft noise being associated as aircraft noise The experience and capability of personnel that are responsible for the monitoring therefore become paramount in adapting to a continually changing sound environment to ensure reasonable accuracy in reporting aircraft noise. The objectives of the research undertaken by B&K has been to improve the accuracy of recorded aircraft noise and to minimise reliance on personnel, by replacing threshold based measurements with a recursive searching algorithm based on post analysis of a noise sample continuum. The outcome of this work has resulted in an aircraft noise event extraction methodology which mitigates the aforementioned drawbacks of existing systems while minimising the dependency on personnel operating aircraft noise monitoring systems.
机译：飞机噪声监测系统通常在一天中的不同时间使用噪声监测器上的固定阈值来定义哪些时间段将被分析为可能的飞机噪声事件。阈值的设置在连续测量飞机噪声时会导致严重的缺陷，例如：1.由于阈值高于安静的飞机水平而导致的飞机噪声丢失2.非飞机噪声与飞机噪声相关联因此，负责监控的因素对于适应不断变化的声音环境至关重要，以确保在报告飞机噪声时具有合理的准确性。 B＆K进行的研究的目标是通过使用基于噪声样本连续体后期分析的递归搜索算法替换基于阈值的测量值，从而提高记录的飞机噪声的准确性并最大程度地减少对人员的依赖。这项工作的结果导致了一种飞机噪声事件提取方法，该方法减轻了现有系统的上述缺点，同时最大限度地减少了对操作飞机噪声监测系统的人员的依赖性。

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