Spatial resolution of airborne gravity estimates in Kalman filtering

IF 0.9 Q4 REMOTE SENSING Journal of Geodetic Science Pub Date : 2022-01-01 DOI:10.1515/jogs-2022-0143
T. Jensen
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Abstract

Abstract Airborne gravimetry is an efficient and reliable method to obtain information on the gravity field, fundamental to gravity field modelling, geoid determination, and flood risk mapping. In evaluation and utilization of gravity estimates, two measures are of fundamental importance, namely the accuracy and spatial resolution. These measures are related to one another through the filtering required to suppress observational noise. As strapdown inertial measurement units (IMUs) are increasingly deployed for airborne gravity surveys, the Kalman filter estimation method is routinely used for gravity determination. Since filtering is not applied directly to the observations in Kalman filtering, it is not straightforward to associate the derived gravity estimates with a measure of spatial resolution. This investigation presents a method for deriving spatial resolution by evaluating the transfer function formed after applying a delta function to the observed accelerations. The method is applied to Kalman-filter-derived gravity estimates from an airborne strapdown IMU system, yielding a full-wavelength spatial resolution of 5.5 km at an accuracy of 0.6 mGal. These results are consistent with a comparison with upward continued terrestrial gravity observations.
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卡尔曼滤波中航空重力估计的空间分辨率
摘要航空重力测量是获取重力场信息的一种高效、可靠的方法,是重力场建模、大地水准面确定和洪水风险制图的基础。在重力估计的评价和利用中,精度和空间分辨率是两个至关重要的指标。这些措施通过抑制观测噪声所需的滤波相互关联。随着捷联惯性测量单元(imu)越来越多地用于航空重力测量,卡尔曼滤波估计方法通常用于重力确定。由于在卡尔曼滤波中滤波不直接应用于观测,因此将导出的重力估计与空间分辨率的度量联系起来并不直接。本研究提出了一种通过对观测到的加速度应用delta函数后形成的传递函数来计算空间分辨率的方法。该方法应用于机载捷联IMU系统的卡尔曼滤波重力估计,在0.6 mGal的精度下获得5.5 km的全波长空间分辨率。这些结果与向上持续的地球重力观测结果相一致。
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来源期刊
Journal of Geodetic Science
Journal of Geodetic Science REMOTE SENSING-
CiteScore
1.90
自引率
7.70%
发文量
3
审稿时长
14 weeks
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