By analyzing the relationship of the Kalman filtering model errors and the forecasting residual vector, a method of detecting gross errors was proposed.
通过分析卡尔曼滤波模型误差与预测残差向量之间的关系，提出了对粗差进行探测的方法，并通过一个实例说明了该方法的有效性。
Based on the relation between true error and residual error, the author puts forward a characteristic method for detecting and locating multidimensional gross errors.
首先分析真误差与残差的关系，并以此关系为基础，提出一种新的、有特色的多维粗差探测与定位方法。
The results show that the new method can improve the detecting power of the muhiple gross errors detection greatly.
实例研究表明，这种方法能够有效地提高多过失误差共存时的侦破能力。
The results show that the new method can improve the detecting power of the muhiple gross errors detection greatly.
实例研究表明，这种方法能够有效地提高多过失误差共存时的侦破能力。
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