集成导航系统软件测试平台的开发

T. Sonmez, Gokcen Aslan
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引用次数: 2

摘要

在今天的导航系统中,不同类型的传感器被集成在一起。这种集成可能包括惯性传感器、全球导航卫星系统、雷达高度计、气压高度计、数字地形图等。主要采用卡尔曼滤波来融合传感器数据并计算导航数据。为了验证和测试集成算法,需要开发一个全面的软件测试平台。在本文中,我们开发了一个集成导航系统的测试平台,其中传感器数据建模具有实时误差。使用此测试平台,可以在软件环境中为任何导航系统尝试不同的场景,而在硬件系统中测试这些场景过于昂贵,甚至可能是不可能的。该试验台也适合进行蒙特卡罗模拟和协方差分析。利用该软件测试平台对著名的地形参考导航算法TERCOM进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Software Testbed for Integrated Navigation Systems
In today's navigation systems different types of sensors are integrated. This integration may include inertial sensors, global navigation satellite systems, radar altimeter, barometric altimeter, digital terrain maps and etc. Mostly a Kalman filter is designed to fuse the sensor data and to calculate the navigation data. In order to validate and test the integration algorithm, a comprehensive software testbed has to be developed. In this paper, we develop such a testbed for integrated navigation systems where the sensor data is modeled with real time errors. Using this testbed it is possible to try different scenarios in the software environment for any navigation system whereas to test such scenarios with the hardware systems is too costly and even may be impossible. This testbed is also suitable for performing Monte-Carlo simulations and covariance analysis. A well-known terrain referenced navigation algorithm, TERCOM, is tested with this software testbed.
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