宽带信号模拟-信息转换的随机采样

2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software Pub Date : 2006-12-01 DOI:10.1109/DCAS.2006.321048

J. Laska, S. Kirolos, Y. Massoud, Richard Baraniuk, A. Gilbert, M. Iwen, M. Strauss

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引用次数: 257

摘要

我们开发了一个用于模拟-信息转换的框架，该框架能够对局部傅里叶表示中稀疏的宽带信号进行亚奈奎斯特采集和处理。该框架的第一个组成部分是一个可以在实际硬件中实现的随机抽样系统。二是一种有效的信息恢复算法，用于计算信号的谱图，我们称之为sparsogram。跳频信号的模拟采集工作频率为奈奎斯特平均采样率的33倍，信号质量几乎没有下降

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Random Sampling for Analog-to-Information Conversion of Wideband Signals

We develop a framework for analog-to-information conversion that enables sub-Nyquist acquisition and processing of wideband signals that are sparse in a local Fourier representation. The first component of the framework is a random sampling system that can be implemented in practical hardware. The second is an efficient information recovery algorithm to compute the spectrogram of the signal, which we dub the sparsogram. A simulated acquisition of a frequency hopping signal operates at 33times sub-Nyquist average sampling rate with little degradation in signal quality

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来源期刊

2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software

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