Frugal Data Acquisition and Transmission based on 1-bit Compressive Sensing for Structural Health Monitoring

Acquiring the signal from monitoring sensor and transmitting these data to the control center plays an important part in Structural Health Monitoring. However, small defect monitoring requires the use of high sampling rate and high resolution analog-to-digital converters, which increases the power consumption and transmission cost of a single node. In this paper, we designed a novel sampling structure. First, in order to reduce the power consumption and communication cost of the data acquisition device, we designed a 1-bit random demodulator(1-bit RD), which mainly includes a pseudo-random sequence generator, a multiplier, an integrator and a comparator. Moreover, to adapt signals with different sparsity level, we designed an adaptive BIHT algorithm that adapts different sparsity signals with a minimum number of iterations by comparing the residual magnitudes. Simulation results show that 1bit-RD could recover the spectral support accurately and efficiently for signals with unknown sparsity level.