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Simulation of Satellite-to-Satellite Tracking Data of Interferometric SAR Based on GPS

机译:基于GPS的干涉SAR卫星跟踪数据仿真。

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摘要

While space-borne synthetic aperture radar (SAR) has evolved into a mature technology over the past two decades, there is a growing interest in interferometric SAR applications. Precise relative state estimation is a necessary technique for the operation of multiple space vehicle on-orbit formation flying together, which is vitally important for the InSAR system. Carrier-phase Differential GPS (CDGPS) positioning has been proven to be an accurate technique for relative positioning and attitude determining between multiple vehicles. In order to analyze and assess the achievable accuracy based on satellite-to-satellite tracking (SST) by the US global positioning system (GPS), a modeling with corresponding simulation software is established to analyze relative state estimation of InSAR using CDGPS, which is a part of the InSAR Simulation System (ISSS). The models including SAR satellites model, GPS satellites model and observation error models are studied in this paper. The simulated observation data is obtained by employing these elaborately selected models, which can be used in the process of investigating orbit determination scheme, evaluating relative state estimation methods such as ambiguity resolution method, Kalman filtering technique and so on. The values of simulated model parameters can be customized to simulate satellites at different altitudes and tracking data with different errors.
机译:在过去的二十年中,虽然星载合成孔径雷达(SAR)已经发展成为一项成熟的技术,但人们对干涉SAR的应用却越来越感兴趣。精确的相对状态估计是多个航天器一起飞行的在轨编队运行的必要技术,这对于InSAR系统至关重要。载波相位差分GPS(CDGPS)定位已被证明是用于确定多个车辆之间的相对定位和姿态的准确技术。为了分析和评估美国全球定位系统(GPS)基于卫星到卫星跟踪(SST)可获得的精度,建立了带有相应仿真软件的模型,以使用CDGPS分析InSAR的相对状态估计,即InSAR仿真系统(ISSS)的一部分。研究了SAR卫星模型,GPS卫星模型和观测误差模型。通过使用这些精心选择的模型获得模拟的观测数据,这些模型可用于调查轨道确定方案,评估相对状态估计方法(例如歧义解决方法,卡尔曼滤波技术等)的过程。可以自定义仿真模型参数的值,以仿真不同高度的卫星并跟踪具有不同误差的数据。

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