Efficient baseband implementation on an SDR platform

Wen Xu, Mathias Richter, M. Sauermann, F. Capar, Cyprian Grassmann
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引用次数: 5

Abstract

We address the issues related to implementation of baseband signal processing algorithms on an SDR platform with multiple parallel processors, such as the Intel's X-GOLD™ SDR20 baseband processor. The basic idea is to reformulate the baseband signal processing algorithms such that they can be efficiently implemented on a parallel architecture. A hierarchical LTE initial synchronization scheme is taken as an example which involves algorithmic modules such as summation, maximum search, vector addition, cross-correlation, auto-correlation, FFT, FIR filter, etc. As can be shown, the computational complexity of an algorithm itself is vital and determines its implementability on a parallel SDR platform. Except for modules like summation, maximum search, vector addition, cross-correlation which can be parallelized straightforwardly, we show how to parallelize sequential and iterative algorithmic modules like autocorrelation and FFT. Challenges and future work are also discussed.
基于SDR平台的高效基带实现
我们解决了在具有多个并行处理器的SDR平台上实现基带信号处理算法的相关问题,例如英特尔的X-GOLD™SDR20基带处理器。基本思想是重新制定基带信号处理算法,使它们能够在并行架构上有效地实现。以一种分层LTE初始同步方案为例,该方案涉及求和、最大值搜索、矢量加法、互相关联、自相关、FFT、FIR滤波器等算法模块。可以看出,算法本身的计算复杂度是至关重要的,并决定了其在并行SDR平台上的可实现性。除了可以直接并行化的求和、最大搜索、向量加法、相互关联等模块外,我们还展示了如何并行化自相关和FFT等顺序和迭代算法模块。讨论了面临的挑战和今后的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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