列出了对位置偏差估计的状态方程和测量方程，用加权的最小二乘估计和卡尔曼滤波算法，实现了定位和跟踪。
The state equation and detecting equation of the position error of moving target are built, the location and track to moving target is achieved by least-square estimation and Kalman filter algorithm.
采用基于最小偏差估计(LAD)准则的滑动局部多项式拟和目标的运动轨迹，并用拟和的运动轨迹预测目标在下一时刻的位置。
Target trace is fitted by sliding subsection polynomials based on least absolute deviation (LAD) estimation, and the future location of target is predicted with the fitted trace.
基于极大后验概率估计准则计算了位置偏差的估值。
The location disparity was estimated based on maximum a posteriori criterion.
基于极大后验概率估计准则计算了位置偏差的估值。
The location disparity was estimated based on maximum a posteriori criterion.
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