Metropolitan airports constitute an environmental nuisance, mainly due to noise pollution originating from aircraft landings and takeoffs, affecting the wellbeing of the airports’ neighboring populations. Noise measurement is considered the fundamental means to evaluate, enforce, validate, and control noise abatement. Noise measurements performed by sound monitors located close to urban airports are often disrupted by urban background noise that interferes with aircraft sounds. Detecting aircraft noise, classifying, identifying, and separating it from the residual background noise is a challenge for unattended aircraft noise monitors. This paper suggests a simple and inexpensive methodology, based on ADS-B (Automatic Dependent Surveillance-Broadcast), which can facilitate isolating aircraft noise from background noise. Experiments showed that using ADS-B driven noise monitors is at least as accurate as the commonly used radar–driven noise monitors, in terms of true positive, false positive, or false negative detection during the examined periods.

大都市机场对环境有害，主要是由于飞机降落和起飞引起的噪声污染，影响了机场附近居民的生活。噪声测量被认为是评估，执行，验证和控制噪声消除的基本手段。位于城市机场附近的声音监控器执行的噪声测量通常会受到干扰飞机声音的城市背景噪声的干扰。对于无人值守的飞机噪声监测器而言，检测飞机噪声，对其进行分类，识别并将其与残余背景噪声分离是一项挑战。本文提出了一种基于ADS-B（自动相关监视-广播）的简单且廉价的方法，该方法可以促进将飞机噪声与背景噪声隔离。