Application Of Least Square Fitting Method In Radar Signal Resolution Estimation Algorithm

In the process of dealing with the collected signal data, an excessive step of the data interval, caused by sampling device, would bring a large calculation error to the subsequent processing algorithm. Although the interpolation filtering method, based on "multi-rate signal processing", provides a good theoretical basis for the solution. It's still to be analyzed that, to what extent should the signal data be interpolated is the most optimally. In this paper, the least square fitting method is applied in the algorithm of radar signal resolution estimation, to determine the optimal data interval step for the algorithm. It provides some reference and guidance for the implementation of data interpolation algorithm.