The miss detection is liable to occur when detecting stationary targets in complex strong ground clutter. Based on the Double-Parameter-Constant-False-Alarm-Rate(DP-CFAR) detection method, this paper proposes a Multi-Time-Scale Constant False Alarm Rate(MTS-CFAR) detection based on pre-detection recognition. Before the detection, based on the difference in the multi-time-scale statistical results of various types of targets, the moving targets, stationary targets and clutter are distinguished and identified, the interferences of clutter statistics and target statistics are reduced, and the detection performance of stationary targets is improved. Based on the application of traffic radar, the performance of MTS-CFAR algorithm and DP-CFAR, TS-CFAR and CAG-CFAR are analyzed and compared quantitatively through simulation and measured data, which proves the superiority and engineering application value of static target detection of the proposed algorithm.