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作 者:盖建新[1] 李洋[1] 杜昊辰 GAI Jianxin;LI Yang;DU Haochen(The Higher Educational Key Laboratory for Measuring&Control Technology and Instrumentations of Heilongjiang Province,Harbin University of Science and Technology,Harbin 150080,China)
机构地区:[1]哈尔滨理工大学测控技术与仪器黑龙江省高校重点实验室,哈尔滨150080
出 处:《中国科技论文》2018年第4期385-389,413,共6页China Sciencepaper
基 金:国家自然科学基金资助项目(61501150);黑龙江省青年科学基金资助项目(QC2014C074);黑龙江省学位与研究生教育教学改革研究项目(JGXM_HLJ_2015061)
摘 要:针对频域稀疏信号压缩采样物理实现问题,基于调制宽带转换器(modulation wideband converter,MWC)采样方法,设计了一套完整的压缩采样硬件系统。系统由上、下位机两部分组成。下位机负责压缩采样,上位机实现信号重构。本文重点设计并实现了下位机随机混频、低通滤波、伪随机序列发生、同步采样等电路功能,并对所设计的电路进行了实际验证。实验结果表明,所设计的系统可以在采样的同时完成压缩,从远低于奈奎斯特频率的采样数据中,以98.5%的平均成功率重构出原始信号。Aiming at the physical implementation issue of compressive sampling for sparse signal in frequency domain,a complete compressive sampling hardware system is designed based on modulation wideband converter(MWC)sampling method.This system consists of two parts:a host computer and a slave computer.The host computer is responsible for compressive sampling,and the slave compute realizes signal reconstruction.This paper focuses on the circuit design and implementation of the host computer,including circuit functions of random mixing,low-pass filtering,pseudo random sequence generating,and synchronous sampling,etc.The paper verified these circuit functions by practical experiments.Experimental results show that the designed system can perform compression as well as sampling,and can reconstruct the original signal by an average probability of 98.5%from the acquired data at far below Nyquist rate.
分 类 号:TN98[电子电信—信息与通信工程]
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