An extensible and real-time compressive sensing reconstruction hardware for WBANs using OMP
An extensible and real-time compressive sensing reconstruction hardware for WBANs using OMP
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使用 OMP 的可扩展实时 WBAN 压缩感知重建硬件
DOI：
10.1109/asicon.2013.6811911
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Xiaoyang Zeng
中科院分区：
文献类型：
--
作者：
Weijing Shi;Yi Li;Jun Han;Xu Cheng;Xiaoyang Zeng
将稀疏信号以亚nyquist速率进行采样，将稀疏信号引入无线身体区域网络，以减少信号获取的硬件需求和能量消耗。 。稀疏度256长的ECG信号在45μs中，最大工作频率为167MHz，当稀疏度为8时，需要18μs才能恢复信号，该信号比艺术品最先进的设计快33％。
Compressive sensing theory, which allows sparse signal to be sampled at sub-Nyquist rate, is introduced to Wireless Body Area Networks to reduce the hardware requirement and energy consumption of signal acquisition. However, signal recovery by software causes time delay for real-time reconstruction. In this paper, we propose a high speed hardware implementation of orthogonal matching pursuit reconstruction algorithm in SMIC 130nm CMOS. By using original multi-functional systolic arrays, it is highly parallel and extensible. Experimental result shows that it completes a reconstruction of 16-sparseness 256-length ECG signal in 45μs with maximum operating frequency of 167MHz. When the sparseness is 8, it takes 18μs to recover the signal, which is 33% faster than the state-of-art design.