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调制宽带转换器与多陪集采样在稀疏多频带信号采样中的应用
引用本文:黄振,柏正尧,莫禹钧. 调制宽带转换器与多陪集采样在稀疏多频带信号采样中的应用[J]. 云南大学学报(自然科学版), 2014, 36(4): 477-483. DOI: 10.7540/j.ynu.20130600
作者姓名:黄振  柏正尧  莫禹钧
作者单位:1.云南大学 信息学院,云南 昆明 650091
基金项目:国家自然科学基金(U1231122)
摘    要:目前研究的亚奈奎斯特采样方法有调制宽带转换器和多陪集采样,二者都是用于获取时间连续、频谱稀疏信号的采样方法,多陪集采样是非均匀的亚奈奎斯特采样,调制宽带转换器是均匀的奈奎斯特采样.从采样方法、频谱支撑区恢复、信号重构和复杂度等方面,对调制宽带转换器与多陪集采样在稀疏多频带信号采样中的应用进行分析.仿真实验结果表明,在相同的平均采样速率下,调制宽带转换器的均方误差大于多陪集采样,但多陪集采样对各通道时延的精确要求给其硬件实现带了很大困难,而调制宽带转换器易于在实际应用中允许的误差范围内硬件实现.

关 键 词:亚奈奎斯特采样   调制宽带转换器   多陪集采样   稀疏多频带信号
收稿时间:2013-10-30

The application of the modulated wideband converter and multi-coset sampling in sampling of the sparse multiband signals
HUANG Zhen,BAI Zheng-yao,MO Yu-jun. The application of the modulated wideband converter and multi-coset sampling in sampling of the sparse multiband signals[J]. Journal of Yunnan University(Natural Sciences), 2014, 36(4): 477-483. DOI: 10.7540/j.ynu.20130600
Authors:HUANG Zhen  BAI Zheng-yao  MO Yu-jun
Affiliation:1.School of Information Science and Engineering,Yunnan University,Kunming 650091,China
Abstract:Nowadays,the methods of sub-Nyquist sampling studies are the modulated wideband converter and multi-coset sampling and both of which are sampling methods used to acquire continuous-time signals with sparse spectra.However,multi-coset sampling is a non-uniform sub-Nyquist method and the modulated wideband converter is a uniform one.The modulated wideband converter and multi-coset sampling with applications in the sparse multi-band signals are discussed from sampling methods,the spectrum support recovery,signal reconstruction and complexity.The experimental results showed that,at the same average sampling rate,the modulated wideband converter can be implemented by using hardware with an allowable error,and the multi-coset sampling needs a precise time-delay and is difficult to implement by using hardware,although the MSE of the modulated wideband converter is larger than the multi-coset sampling.
Keywords:Sub-Nyquist sampling    modulated wideband converter    multi-coset sampling    sparse multiband signals   
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