Efficient Long-Time Coherent Integration and Detection Algorithm for Radar High-Speed Target Based on the Azimuth Resampling Technology

Prolonging radar observation time is capable of enhancing noise robustness for weak target detection, whereas the range migration phenomenon induced by the target's high-speed movement will deteriorate the energy accumulation ability of the traditional moving target detection method. This article concerns long-time coherent integration for radar high-speed target and proposes an efficient detection algorithm based upon azimuth resampling. The proposed algorithm can be implemented via azimuth nonuniform fast Fourier transform and further developed into the sparse representation mechanism utilizing 2-D sparse Fourier transform. Furthermore, the dictionary dynamic updating strategy is presented to improve the weak target detectability in the multitarget observation environment. The processed results of both simulated and measured radar data have been displayed to validate the effectiveness of the presented algorithm.