Real-time radar signal processing using GPGPU (general-purpose graphic processing unit)

Fanxing Kong; Yan Rockee Zhang; Jingxiao Cai; Robert D. Palmer

doi:10.1117/12.2222282

12 May 2016 Real-time radar signal processing using GPGPU (general-purpose graphic processing unit)

Fanxing Kong, Yan Rockee Zhang, Jingxiao Cai, Robert D. Palmer

Proceedings Volume 9829, Radar Sensor Technology XX; 982914 (2016) https://doi.org/10.1117/12.2222282
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

This study introduces a practical approach to develop real-time signal processing chain for general phased array radar on NVIDIA GPUs(Graphical Processing Units) using CUDA (Compute Unified Device Architecture) libraries such as cuBlas and cuFFT, which are adopted from open source libraries and optimized for the NVIDIA GPUs. The processed results are rigorously verified against those from the CPUs. Performance benchmarked in computation time with various input data cube sizes are compared across GPUs and CPUs. Through the analysis, it will be demonstrated that GPGPUs (General Purpose GPU) real-time processing of the array radar data is possible with relatively low-cost commercial GPUs.

Citation Download Citation

Fanxing Kong, Yan Rockee Zhang, Jingxiao Cai, and Robert D. Palmer "Real-time radar signal processing using GPGPU (general-purpose graphic processing unit)", Proc. SPIE 9829, Radar Sensor Technology XX, 982914 (12 May 2016); https://doi.org/10.1117/12.2222282

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