Minimum Classification Error (MCE) criterion based sub-words weighting parameters estimation algorithm is proposed in which the sub-word weighting parameters are derived by the MCE training.
本文提出了一种基于最小分类错误准则(MCE)的子词权重参数估计算法，通过MCE训练得到子词的权重系数。
Then it USES Residual Weighting Algorithm to the result of estimation in order to restrain NLOS error.
然后对位置估计结果使用残差加权算法进行NLOS误差抑制。
In the classical linear quadratic problems, weighting matrices are usually choosed on trial and error to get good responses.
在传统的线性二次型问题中，一般是通过试错法选择加权矩阵来获得良好的动态响应。
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