Spread spectrum (SS) signal acquisition in satellite communication is a very computation intensive technique, which hinders the development of real-time spread spectrum signal acquisition. In this paper, in order to achieve real-time acquisition, we propose a multi-GPU based SS signal acquisition algorithm. First, sliding correlation, the computation kernel, is formulated and efficiently parallelized by CUDA. Second, a CUDA-enabled SS signal acquisition algorithm is implemented by adopting the CUDA-enabled sliding correlation. Third, a multi-GPU based algorithm is implemented by using multi-GPU programming. The performance is evaluated in a real SS telemetry system. Real-time acquisition is achieved in all cases by using a single K40 GPU. Furthermore, an average of 374.7$\times$ speedup (max 473$\times$) in 6 datasets is achieved when using four K40 GPUs. Good scalability is observed when varying the parameters.

中文翻译：

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使用多个 GPU 快速采集扩频信号

卫星通信中的扩频（SS）信号采集是一种计算量非常大的技术，阻碍了实时扩频信号采集的发展。在本文中，为了实现实时采集，我们提出了一种基于多GPU的SS信号采集算法。首先，计算内核滑动相关性由 CUDA 制定并有效并行化。其次，采用支持CUDA的滑动相关实现了支持CUDA的SS信号采集算法。第三，通过使用多GPU编程来实现基于多GPU的算法。在真实的 SS 遥测系统中评估性能。在所有情况下都使用单个 K40 GPU 实现实时采集。此外，平均 374.7$\times$ 加速（最大 473$\times$) 在使用四个 K40 GPU 时在 6 个数据集中实现。改变参数时观察到良好的可扩展性。