Λ 称为 因子载荷矩阵(factor loading matrix)或观察矩阵(observation matrix)，表达了状态矢量x 与 观察矢量o 之间的线性变换关系。
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The observation matrix of calibration on relative position measurement is achieved from error model.
从误差建模出发，得到基于相对位置测量的标定参数识别矩阵。
The system order is decided by non-zerosingular values of the observation matrix in the subspace state space systemidentification method.
子空间系统辨识方法确定系统的阶次是由可观测矩阵的非零奇异值来决定。
Parameters of Kalman forecast are designed according to requirements of system and subsequently, system state vector, state transfer matrix and observation matrix are determined.
根据系统的要求，确定了卡尔曼预测的参数，并由此确定了具有预测稳定性的系统状态向量、状态转移矩阵和观测矩阵。
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