A fast carrier acquisition architecture for high-dynamic weak signal based on GPU

Abstract

In this paper, we present a graphics processing unit (GPU)-based architecture of carrier acquisition for high-dynamic weak signal in deep space communications. To achieve high performance, the carrier acquisition procedure is parallelized by exploiting the GPU's parallel operating characteristics. Based on computer unified device architecture (CUDA), different kernels are designed to map the different phases of carrier acquisition procedure. What's more, the kernels' efficiency are improved by optimizing the internal operation parallelism of kernels and lowering the memory access latency for threads. Besides, multiple CUDA streams are designed to hide the data transfer latency between host and device. Experimental results demonstrate that the proposed GPU-based architecture achieves more than 250.3 times speedup compared to CPU-based platform.