Measurements set preprocessing for estimation of nonlinear model parameter
非线性参数估计中的观测集预处理技术

Estimation accuracy of nonlinear parameter not only relates to the random measurement noise, but also relates to the system observability, provided that system observability is very low and the parameters intermix. Aiming at this, a preprocessing method based on measurements selection is proposed to strengthen the system observability. As an example, the preprocessed subset is used to estimate the system errors of radar. It is shown that this method can improve the estimation accuracy.