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在同时要求测距和测速的雷达跟踪系统中,应用互耦卡尔曼滤波进行数据处理,与单测距和单测速的卡尔曼滤波性能相比,距离跟踪精度能有显著的改善和提高。本文重点剖析测距和测速两个通道之间的互耦信息,证明了互耦卡尔曼滤波中距离和速度估值精度的改善程度,取决于测量信患的信噪比,尤其是测速通道的信噪比更为重要,并由计算机模拟试验得到了证实。
In the radar tracking system that requires both ranging and speed measurement, the application of mutual coupling Kalman filter for data processing, compared with single-range and single-rate Kalman filter performance, distance tracking accuracy can be significantly improved and improved. This paper focuses on the mutual information between the two channels of ranging and velocity, and proves that the improvement of distance and velocity estimation accuracy in the mutual coupling Kalman filter depends on the signal-to-noise ratio of the measured signal, especially the velocity channel Signal to noise ratio is more important and confirmed by computer simulation tests.