Journal of Positioning, Navigation, and Timing (J Position Navig Timing; JPNT)
Citation: Choi, Y. S., Seo, H. S., & Kim, Y. B., 2023, Evaluation of GPU Computing Capacity for All-in-view GNSS SDR Implementation, Journal of Positioning, Navigation, and Timing, 12, 75-81.
Journal of Positioning, Navigation, and Timing (J Position Navig Timing) 2023 March, Volume 12, Issue 1, pages 75-81. https://doi.org/10.11003/JPNT.2023.12.1.75
Received on 20 February 2023, Revised on 05 March 2023, Accepted on 07 March 2023, Published on 30 March 2023.
License: Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/bync/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Yun Sub Choi, Hung Seok Seo, Young Baek Kim†
GNSS Center, Microinfinity Co., Ltd., Daejeon 34012, Republic of Korea
†Corresponding Author: E-mail, ybkim@minfinity.com; Tel: +82-42-710-3910 Fax: +82-42-710-3911
In this study, we design an optimized Graphics Processing Unit (GPU)-based GNSS signal processing technique with the goal of designing and implementing a GNSS Software Defined Receiver (SDR) that can operate in real time all-in-view mode under multi-constellation and multi-frequency signal environment. In the proposed structure the correlators of the existing GNSS SDR are processed by the GPU. We designed a memory structure and processing method that can minimize memory access bottlenecks and optimize the GPU memory resource distribution. The designed GNSS SDR can select and operate only the desired GNSS or desired satellite signals by user input. Also, parameters such as the number of quantization bits, sampling rate, and number of signal tracking arms can be selected. The computing capability of the designed GPU-based GNSS SDR was evaluated and it was confirmed that up to 2400 channels can be processed in real time. As a result, the GPU-based GNSS SDR has sufficient performance to operate in real-time all-in-view mode. In future studies, it will be used for more diverse GNSS signal processing and will be applied to multipath effect analysis using more tracking arms.
software defined radio, GNSS receiver, GPGPU, CUDA, parallel processing
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Conceptualization, Y. S. Choi; methodology, Y. S. Choi; software, Y. S. Choi, H. S. Seo; validation, H. S. Seo, Y. S. Choi; formal analysis, Y. S. Choi, H. S. Seo; investigation, Y. S. Choi; resources, Y. B. Kim; data curation, Y. S. Choi; writing, Y. S. Choi; review and editing, H. S. Seo; supervision, H. S. Seo; project administration, Y. B. Kim.
The authors declare no conflict of interest.