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。
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