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.
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