面向通信接收机的DSP GPU加速。

GNU radio Pub Date : 2017-09-01 Epub Date: 2017-09-07
Jake Gunther, Hyrum Gunther, Todd Moon
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引用次数: 0

摘要

信号处理算法的图形处理单元(GPU)实现可以优于基于cpu的实现。本文描述了在各种高数据速率通信接收器中遇到的几种算法的GPU实现,包括滤波器,多速率滤波器,数控振荡器和多级数字下变频。这些结构通过处理20 MHz宽FM无线电频段(88-108 MHz)进行测试。探索了两种接收器结构:单通道接收器和滤波器组信道接收器。两者都在NVIDIA GeForce GTX 1080显卡上实时运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

GPU Acceleration of DSP for Communication Receivers.

GPU Acceleration of DSP for Communication Receivers.

GPU Acceleration of DSP for Communication Receivers.

GPU Acceleration of DSP for Communication Receivers.

Graphics processing unit (GPU) implementations of signal processing algorithms can outperform CPU-based implementations. This paper describes the GPU implementation of several algorithms encountered in a wide range of high-data rate communication receivers including filters, multirate filters, numerically controlled oscillators, and multi-stage digital down converters. These structures are tested by processing the 20 MHz wide FM radio band (88-108 MHz). Two receiver structures are explored: a single channel receiver and a filter bank channelizer. Both run in real time on NVIDIA GeForce GTX 1080 graphics card.

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