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一种基于GPU的PCM/FM信号多符号检测算法

A Multi-symbol Detection Algorithm of PCM/FM Signal Based on GPU
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摘要 PCM/FM信号的非相干鉴频解调存在门限效应,将多符号检测技术引入PCM/FM信号的解调中,可以提高约3 dB的解调增益。多符号检测多采用FPGA实现系统功能,存在硬件设计周期较长、硬件平台通用性低和升级难度大等问题,距离软件无线电设计理念有较大的差距。针对传统硬件实现的问题,设计了基于GPU的多符号检测实现方法,根据算法原理和GPU并行方法设计出基于GPU的并行滑动相关实现方法;据此设计了基于GPU的多符号检测算法的并行化方法;设计了基于GPU的Gardner位同步算法。实验结果显示,基于GPU的多符号检测算法满足实时性的要求,解调增益稍优于FPGA系统。 A threshold effect exists in the non-coherent frequency discrimination demodulation of PCM/FM signal.A demodulation gain improvement of about 3 dB can be realized by introducing multi-symbol detection technology into the demodulation of PCM/FM signal.FPGA is used in multi-symbol detection to realize system functions,which leads to some problems such as long hardware design cycle,low universality of hardware platform and upgrade difficulty,etc.To solve the problem of traditional hardware implementation,a multi-symbol detection implementation method based on GPU is designed.A parallel sliding correlation implementation method based on GPU is designed according to the algorithm principle and GPU parallel method.Then,a parallelization method of multi-symbol detection algorithm based on GPU is designed.Finally,a Gardner bit synchronization algorithm based on GPU is designed.The experimental results show that the multi-symbol detection algorithm based on GPU meets the requirement for real-time performance,and the demodulation gain is slightly better than that of FPGA system.
作者 孙宽飞 杨文革 滕飞 焦义文 高泽夫 SUN Kuanfei;YANG Wenge;TENG Fei;JIAO Yiwen;GAO Zefu(Department of Electronic and Optical Engineering,Space Engineering University,Beijing 101416,China)
出处 《无线电工程》 北大核心 2022年第4期578-589,共12页 Radio Engineering
基金 北京市科技重大专项(Z181100002918004)。
关键词 调频遥测 多符号检测 GPU PCM/FM解调 并行计算 FM telemetry multi-symbol detection GPU PCM/FM demodulation parallel computing
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