Parallel Implementation for GRFT Algorithm Based on Three-order Motion Model

 Generalized Radon-Fourier Transform (GRFT) is a generalized algorithm of Moving Target Detection (MTD), which achieves coherent integration by compensating the phase of multiple pulses through searching the target’s velocity, acceleration and jerk. This kind of algorithm inevitably brings a huge amount of computation because of multi-dimension search, which is not conducive to real-time detection of radar. To address this issue, a GRFT algorithm based on graphic processing unit (GPU) is proposed in this paper, which combines search independence between motion parameters, the storage of radar echo signal and idea of GRFT algorithm. Computer unified deceive architecture (CUDA) is adopted to realize this algorithm. Numerical simulation results show that the computing speed of GRFT algorithm is significantly improved on the GPU platform.