1) M-M robust estimation for sequential adjustment
M-M抗差序贯平差
2) M-M Robust
M-M抗差
3) Robust Sequential Estimation
抗差序贯平差
4) M-LS Robust
M-LS抗差
5) robust M-estimator
抗差M估计
1.
To get a reliable result, an equivalent weight based on robust M-estimator is applied in the process of self-tuning Kalman filtering; robust self-tuning Kalman filtering is then proposed in this paper.
为减弱异常观测值对自校正Kalman滤波精度的影响,引入抗差M估计的等价权函数,建立了抗差自校正Kalman滤波算法,并用实例进行了验证。
6) sequential adjustment
序贯平差
1.
The formulas of the fixed parameter sequential adjustment are deduced and the characteristics of this method are analysed.
采用简洁的方式，导出了固定参数序贯平差的计算公式，并对ＧＰＳ网与地面网中存在的固定边长和固定坐标方位角等约束条件进行序贯平差。
2.
The sequential Adjustment with Constraints among Parameters is presented briefly in the first,the two arithmetics of the robustment estimation for sequential adjustment with constraints are conducted in detail,and their characteristics are analyzed.
推导了附加约束条件的序贯平差抗差估计解法,对其两种解法进行了分析比较,这两种方法上是一致的。
补充资料：婆差优婆差
【婆差优婆差】
（杂语）Upasakaupasika，在家之二众，优婆塞优婆夷之转讹也。仁王经下曰：“在家婆差优婆差。”同嘉祥疏五曰：“在家二众名优婆塞优婆夷，有本云婆差优婆差。外国语音不同有此异耳。”
（杂语）Upasakaupasika，在家之二众，优婆塞优婆夷之转讹也。仁王经下曰：“在家婆差优婆差。”同嘉祥疏五曰：“在家二众名优婆塞优婆夷，有本云婆差优婆差。外国语音不同有此异耳。”
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条