Post-DBF joint domain localised rapid parallel implementation for HFSWR base on GPU

High Frequency Surface Wave Radar (HFSWR) can perform the functions of ocean environment monitoring, target detection, and target tracking over the horizon with an important limitation by ionospheric clutter. Joint Domain Localised (JDL) has been proved to be effective algorithm for ionospheric clutter suppression. However, for implementation of JDL, the compute load and the calculating speed should be considered carefully. In this paper, we have developed JDL for post the Digital Beam Forming (DBF) pro and implemented the post-DBF JDL based on Compute Unified Device Architecture (CUDA) and NVIDIA Graphics Processing Unit (GPU). The performance has been measured and compared with highly optimized library to verify the algorithm and the architecture proposed can be applied to practical HFSWR system.