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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Use of Allan Deviation for Characterizing Satellite Microwave Sounder Noise Equivalent Differential Temperature (NEDT)
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Use of Allan Deviation for Characterizing Satellite Microwave Sounder Noise Equivalent Differential Temperature (NEDT)

机译：使用Allan偏差表征卫星微波测深仪噪声等效温差（NEDT）

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摘要

Currently, the instrument sensitivity of sensors onboard weather satellites is quantified by computing the standard deviation of the measurements taken from their calibration targets. The standard deviation is valid for describing the spread of a statistical distribution of the measured values around its mean that is stable. However, the actual measurements of a calibration target can exhibit considerable variations in time as shown from the Suomi National Polar-orbiting Partnership Advanced Technology Microwave Sounder (ATMS) blackbody data. In this letter, the Allan deviation is proposed as an alternative to the standard deviation for characterizing the instrument sensitivity. It is found that, in the overlapping Allan deviation formula, the averaging window size has to be set to one in order to accurately assess the noise magnitudes for both stationary and nonstationary time series. Furthermore, from the ATMS on-orbit data, the estimates of the noise magnitudes at several channels show a large discrepancy between the Allan deviation and the standard deviation. Finally applying the Allan deviation, the sensitivity of the NOAA-18 Advanced Microwave Sounding Unit-A is also derived and compared against the traditional algorithm results. From this comparison, significant improvements can be seen in the Allan deviation-based noise-equivalent-differential-temperature estimation.
机译：当前，通过计算从其校准目标获取的测量值的标准偏差来量化气象卫星上的传感器的仪器灵敏度。标准偏差可有效地描述测量值在其平均值附近的统计分布范围。但是，如Suomi国家极轨合作伙伴先进技术微波测深仪（ATMS）黑体数据所示，校准目标的实际测量值可能会显示出较大的时间变化。在这封信中，建议使用Allan偏差作为标准偏差的替代方法，以表征仪器的灵敏度。已经发现，在重叠的艾伦偏差公式中，必须将平均窗口大小设置为1，以便准确地评估固定和非固定时间序列的噪声幅度。此外，根据ATMS的在轨数据，几个通道处的噪声幅度估计值表明，艾伦偏差和标准偏差之间存在很大差异。最后应用Allan偏差，还推导了NOAA-18先进微波探测单元A的灵敏度，并将其与传统算法结果进行了比较。从该比较中，可以看到基于Allan偏差的等效噪声-差分温度估计的显着改进。

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