Optimizations of FMCW Dual Polarization Weather Radar Signal Processing on CUDA Platform

• Main Author: ADI RUKMONO (NIM : 23516003), SATRIO
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/30842
• Institution: Institut Teknologi Bandung

<p align="justify">Weather radar is a system that utilizes advanced radio wave engineering to detect precipitation in the atmosphere. One of the wave generation technique used in <br /> <br /> weather radar is frequency-modulated continuous wave (FMCW), with dual polarization for differentiating detected precipitation types by its shape and size. Weather radar signal processing is usually done using digital signal processing and fieldprogrammable <br /> <br /> gate array (FPGA), that performs well but with difficulty in system development and deployment. Software implementation of weather radar signal <br /> <br /> processing enables easier and faster development and deployment with the cost of performance when done serially. Parallel implementation using general purpose <br /> <br /> graphics processing units (GP-GPU) may provide best of both worlds with easier development and deployment compared to hardware-based solutions but with better <br /> <br /> performance than serial CPU implementations. This Thesis implements various optimization strategies weather signal radar processing in GP-GPU environment on the <br /> <br /> Nvidia CUDA platform. Performance measurements show that among optimization strategies implemented, only the utilization of multiple CUDA streams give significant <br /> <br /> performance gain. This Thesis contributes in attempts to build full weather radar signal processing stack on GPU.<p align="justify">