Model-Based Multichannel Compressive Sampling with Ultra-Low Sampling Rate

作者：Zhao, Yijiu^*; Zhuang, Xiaoyan; Wang, Houjun; Dai, Zhijian

来源：Circuits, Systems, and Signal Processing, 2012, 31(4): 1475-1486.

DOI：10.1007/s00034-012-9394-1

• Compressive sampling
• Analog-to-information converter (AIC)
• Ultra-wide-band (UWB)
• Sub-Nyquist sampling
• Joint signal reconstruction

The emerging compressive sampling (CS) theory makes processing ultra-wide-band (UWB) signal at a low sampling rate possible if the underlying signal has a sparse representation in a certain basis. The feasibility of model based compressive sampling for ultra-wide-band (UWB) signal is investigated. In this paper, a multichannel compressive sampling architecture is developed to capture UWB signal at a rate much lower than Nyquist rate. The proposed framework considers sub-Nyquist sampling stream of delayed and weighted versions of a known signal with finite support in time domain. A basis function is constructed to realize sparse signal representation. To reduce the hardware cost, a segmented architecture is suggested. In addition, a joint signal recovery algorithm is presented. Experimental results indicate that, with this system, a UWB signal sampled at about 4% of Nyquist rate still can be recovered with overwhelming probability.

• 出版日期2012-8
• 单位电子科技大学