利用有限字符集特征的数字信号压缩感知模型 |
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引用本文: | 邢政利.利用有限字符集特征的数字信号压缩感知模型[J].计算机应用研究,2018,35(3). |
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作者姓名: | 邢政利 |
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作者单位: | 中国工程物理研究院 电子工程研究所 |
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基金项目: | 国家自然科学基金资助项目;国家自然科学基金项目(面上项目,重点项目,重大项目) |
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摘 要: | 本文利用有限字符集对数字信号的压缩感知方法进行了研究,主要探讨了针对多进制相移键控(M-PSK)字符集,基于有限字符集的特征,可以用亚奈奎斯特率进行采样。本文提出的模型也视为联合解调模型。此外,所需采样率与符号率成正比,且远低于奈奎斯特率。文中利用数值仿真验证了其有效性。
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关 键 词: | 压缩感知 有限字符集 |
收稿时间: | 2016/11/23 0:00:00 |
修稿时间: | 2018/1/23 0:00:00 |
Compressed Sensing of Digital Signals with Finite Alphabets |
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Affiliation: | Institute of Electronic Engineering, China Academy of Engineering Physics |
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Abstract: | We investigate the Compressed Sensing (CS) of digital signals with finite alphabets. More specifically, multiple-phase-shift-keying (M-PSK) alphabet is studied. Exploring the finite alphabets character, the sampling procedure can be achieved at Sub-Nyquist rate. Considering the modulation procedure, the model can also serve to a joint demodulation model. Furthermore, the sampling rate required here scales with the symbol rate, which is much lower than the Nyquist rate. Numerical simulations verify its validity. |
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Keywords: | Compressed Sensing finite alphabets |
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