论文部分内容阅读
本文的主要目的是阐明标准卡尔曼滤波器和卡尔曼预测器之间的差别。为此,发表了标准卡尔曼滤波器和卡尔曼预测器在雷达跟踪问题中的应用。为了获得跟踪目标的较好的位置和速度精度,这两种标法已被广泛地用在边搜索边跟踪的雷达系统中。两种方法间的性能分析和比较与实际卫星跟踪数据一起已被发表。结果表明对于大机动目标,标准卡尔曼滤波器优于卡尔曼预测器。
The main purpose of this paper is to clarify the difference between a standard Kalman filter and a Kalman predictor. To this end, the application of the standard Kalman filter and the Kalman predictor in radar tracking problems has been published. In order to obtain better position and velocity accuracy of the tracking target, these two standardization methods have been widely used in the radar system tracking the edge search. Performance analysis and comparison between the two methods has been published along with actual satellite tracking data. The results show that for large maneuvering targets, the standard Kalman filter is better than the Kalman predictor.