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CPU-GPU平台上的高速MPSK并行解调算法

A parallel demodulation algorithm based on CPU-GPU platform for high-rate MPSK signal
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摘要 针对多进制数字相位调制信号特点,采用数据并行方法,将连续信号流分解为多个信号块以实现并行处理。研究一种基于三维迭代搜索的载波相位-码元相位联合估计算法,在本地构造载波信号的搜索库,利用分段码元相关法从搜索库中挑选出与待处理信号相似度最高的载波信号作为同步载波。通过迭代搜索方法逐步缩小搜索库,降低计算量。仿真结果表明,与克拉美-罗下限相比,解调损失小于0.1dB。在惠普工作站与英伟达K20平台上搭建验证系统,系统的处理速率可达625.9MB/s。 According the characteristics of multiple phase shift keying(MPSK)signal,the data parallel method is used to decompose the continuous signal stream into multiple signal blocks to realize parallel processing. A carrier phase-code element phase joint estimation algorithm based on three-dimensional iterative search is studied. The search library of carrier signal is constructed locally,and then the carrier signal with the highest similarity with the signal under processing is chosen from the search library by means of segmentation code element correlation method to act as the synchronization carrier. The iterative search method is used to gradually deflate the search library to reduce the computational quantity. The simulation results show that,in comparison with the Cramer-Rao lower bound,the demodulation loss of the proposed algorithm is less than 0.1 dB. The verification system was built on HP workstation and NVIDIA K20 GPU,which realized the processing rate of 625.9 MB/s.
作者 吴涛 闫迪 刘燕都 赵江 WU Tao;YAN Di;LIU Yandu;ZHAO Jiang(Department of Electronic and Optical Engineering,Space Engineering University,Beijing 101416,China;The Unit 61646 of PLA,Beijing 100192,China;China Satellite Maritime Tracking and Control Department,Jiangyin 214431,China)
出处 《现代电子技术》 北大核心 2019年第13期9-14,共6页 Modern Electronics Technique
基金 国家自然科学基金资助项目(61271265)~~
关键词 CPU-GPU平台 高速MPSK 并行解调 相位模糊 三维迭代搜索 数据并行 CPU-GPU platform high-rate MPSK parallel demodulation phase ambiguity three-dimensional iterative search data parallelism
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