Paper
15 November 2023 Design of efficient data acquisition and calculation of ground disaster system based on FPGA
Yaolong Qi, Shuai Zhao, Hou Ting, Pingping Huang, Weixian Tan, Wei Xu
Author Affiliations +
Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128151I (2023) https://doi.org/10.1117/12.3011242
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China
Abstract
For the current millimeter wave radar imaging data volume than the mud level meter, rain gauge and other single-point monitoring means of data volume tens of times or hundreds of times geometrically increasing and other challenges, in order to meet the data acquisition computing needs, designed based on FPGA ground disaster system data acquisition computing design of colleges and universities. First of all, we analyzed the requirements of data acquisition of ground disaster system, designed the overall architecture of the system based on FPGA, developed XC7K325T as the main control chip, ADC analog-to-digital conversion and other related modules in one, and then conducted experimental verification of the data acquisition and operation system of ground disaster system, which proved that the system has good acquisition and processing performance, and effectively overcame the problems of large amount of data acquisition of ground disaster system and inaccurate acquisition and operation processing. The system can effectively overcome the problems of large volume of data collection and inaccuracy of data collection and processing, and is conducive to the subsequent data processing of the ground disaster system.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yaolong Qi, Shuai Zhao, Hou Ting, Pingping Huang, Weixian Tan, and Wei Xu "Design of efficient data acquisition and calculation of ground disaster system based on FPGA", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128151I (15 November 2023); https://doi.org/10.1117/12.3011242
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KEYWORDS
Data acquisition

Field programmable gate arrays

Extremely high frequency

Data processing

Design and modelling

Computing systems

Radar

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