Integrity monitoring and estimation of systematic errors in radar data systems

I. Jonsdottir, A. S. Hauksdóttir
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引用次数: 20

Abstract

Initial steps towards the design of a fault detection module for radar and the setup of Kalman filtering for systematic error estimation in simulated and real radar data are described. The Kalman filter was set up in two different ways. The first setup assumed that a 'perfect' reference trajectory was available, e.g., GPS data. Excellent results were obtained, when the Kalman filter estimated systematic errors in simulated data. When applied to real data, the results were quite good, however, estimating the quality of the results is more difficult in this case, since the true systematic errors are not known. The second setup compared simulated data from two radar systems. In this case observability problems became apparent in the results.
雷达数据系统中系统误差的完整性监测与估计
介绍了雷达故障检测模块设计的初步步骤,以及在模拟和真实雷达数据中设置卡尔曼滤波进行系统误差估计。用两种不同的方法建立了卡尔曼滤波器。第一个设置假设有一个“完美”的参考轨迹可用,例如GPS数据。利用卡尔曼滤波对模拟数据进行系统误差估计,取得了很好的效果。当应用于实际数据时,结果相当好,然而,在这种情况下,估计结果的质量更加困难,因为真正的系统误差是未知的。第二个装置比较了两个雷达系统的模拟数据。在这种情况下,可观测性问题在结果中变得明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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