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The Kalman filter algorithm is derived step by step to obtain the unbiased estimates without making a prori assumption over the distribution of process and measurement noise. 卡曼滤波器演算法无需假设处理误差与量测误差的机率分布，而由逐次输入的量测值得到一无偏差之土壤溼度估计值。