Research for Parameter Estimation of Linear Frequency Modulation Signals

In order to conduct estimation of parameters in signal processing, using maximum likelihood estimate and the minimum mean square error estimate and maximum a posteriori probability in Bayes estimate . The experimental results show that: the maximum likelihood estimate accuracy, but search volume greatly; and Bias estimation to a certain extent, can improve the operation speed, but lower precision. So in the actual operation, select appropriate estimate methods based on the specific conditions.