基于SDR平台的高效基带实现

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

摘要

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。
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Efficient baseband implementation on an SDR platform
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.
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