基于GPU的调频遥测信号非相干鉴频算法研究

2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID) Pub Date : 2021-05-28 DOI:10.1109/AIID51893.2021.9456571

Kuanfei Sun, Wenge Yang, Yiwen Jiao, Dong Li, Tianyi Chai, Chao Li

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引用次数: 0

摘要

为了提高调频遥测系统的灵活性和硬件平台的通用性，设计了一种基于GPU的调频遥测信号非相干解调方法。基于CUDA并行运算架构，开发了高效正交下变频模块、并行滤波模块和非相干鉴频模块。实验结果表明，基于GPU的解调方法正确、高效、可靠，能够实现调频遥测信号的实时解调。

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Research on Incoherent Frequency Discrimination Algorithm of FM Telemetry Signal Based on GPU

To improve the flexibility of FM telemetry system and the universality of the hardware platform, an incoherent demodulation method of FM telemetry signal based on GPU is designed. Based on CUDA parallel operation architecture, the efficient orthogonal down-conversion module, parallel filter module, and incoherent frequency discrimination module are developed. The experimental results show that the demodulation method based on GPU is correct, efficient and reliable, and can realize the real-time demodulation of FM telemetry signal.

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来源期刊

2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)

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