Generally speaking, Kalman filter algorithm is relatively convenient to be used because of its less dependence on parameter initial value, especially for the unobservable variables.

• 两种方法中，卡尔曼滤波方法由于对参数初值的依赖性较小，相对较为方便，尤其对于存在不可观测的参数时，具有较大的优越性。