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.

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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.

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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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