Compressive sensing techniques for UWB indoor positioning applications

Compressive sensing (CS) based techniques have been demonstrated to be suitable for UWB based applications to reduce the sampling rate required at the receiver. However, current CS based UWB positioning techniques require high-rate mixing operations to generate the PN sequence to achieve random mixing. This paper proposed a modified CS based implementation that employs relatively low-rate random pre-mixing at the transmitter, with Basic Pursuit based CS reconstruction at the receiver. Simulation results shows that the proposed approach can achieve similar precision at various sampling rates compared to existing techniques, but with lower mixing rate required at the transmitter.