@inproceedings{90c910d681804d65b80cb32f23350e96,
title = "GPU-Based Fast Imaging Scheme for GB-MIMO Radar",
abstract = "GB-MIMO (Ground-Based Multiple Input Multiple Output) radar plays an important role in landslide disaster prevention. Common MIMO radar imaging based on BP (Back Projection) algorithm is slow, and severely affects the real-time performance of deformation measurement. In this paper, a fast imaging scheme applied for GB-MIMO radar is proposed based on a heterogeneous system consisting of CPU (Center Processing Unit) and GPU (Graphic Processing Unit). The signal processing architecture is firstly designed according to the radar imaging principle and algorithm analysis. Then the acceleration technology of GPU is studied with CUDA technology. The results show that the computing speed achieves 30∼35 times in three different echo sizes less than conventional schemes, which proves that the method can meet the requirement of real-time well.",
keywords = "BP Algorithm, Fast Imaging, GB-MIMO Radar, GPU",
author = "Sican Hou and Xiaoyu Ren and Weiming Tian and Yunkai Deng and Xichao Dong",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 CIE International Conference on Radar, Radar 2021 ; Conference date: 15-12-2021 Through 19-12-2021",
year = "2021",
doi = "10.1109/Radar53847.2021.10027958",
language = "English",
series = "Proceedings of the IEEE Radar Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1080--1084",
booktitle = "2021 CIE International Conference on Radar, Radar 2021",
address = "United States",
}