Collision-based Radio frequency identification using compressive sensing

With the Radio frequency identification (RFID) is widely used in commercial, there is a growing need for quickly identifying multiple tags which is a major application of RFID. The collision of signals from different tags becomes a challenge when dealing with multiple-target situation. This paper proposed a RFID scheme using compressive sensing (CS). It treats the collision signals as useful measurements to help identify multiple RFID tags simultaneously. An efficient method is also proposed to improve the efficiency by quickly reducing the number of suspected RFID tags. For scenarios where data has redundancy in temporal, distributed compressive sensing (DCS) is introduced to make use of the redundancy to provide higher accuracy. The simulation results show that the proposed scheme outperforms the FSA scheme in RFID identification problem.