Micro-Doppler parameter estimation from a fraction of the period data with the MMSE criterion

The micro-Doppler characteristic of a rotation target can be represented by a sinusoid. Sometimes the integrating time is shorter than the rotation period. In this case, a new method based on the minimal mean-square error(MMSE) for estimating the micro-Doppler parameter from a fraction of the period data is proposed. The error function is constructed between sinusoid and micro-Doppler signal extracted from the time-frequency distribution of the echoes. Solving the error function in the criterion MMSE, we can obtain the rotation micro-Doppler parameters, i.e. rotation rate and rotation radius. We also prove that the discretisation error and Gaussian white noise induced by extracting the micro-Doppler signal have little effect on the accuracy of the estimated parameters. The validity and accuracy of the proposed method are evaluated via both simulation and experimental data.