Parameter Estimation Of Moving Target For Stepped-Frequency Radar Under Temporal-Correlated Clutter

Proposed is a maximum likelihood (ML) estimation method to estimate the parameter of the moving target for high range resolution stepped-frequency radar in strong clutter background. In this study the temporal correlated clutter is used. By transmitting frequency-hopping waveform and using the spectrum density of the clutter, the method may accurately estimate the moving target parameter in strong clutter. Numerical experiments illustrate the effectiveness of the proposed method.