Effective decoding and ambient backscattering phase cancellation mitigation in tag-to-tag communication

Passive sensing system, as the connection engine of the internet of things, changes the living environment and lifestyle of people profoundly. In order to improve the data transmission rate of passive sensing systems, this paper proposes and adopts scalable high-order backscatter modulation technology. While improving the overall throughput performance of the system, the problem of decoding difficulties caused by phase cancellation in the tag-to-tag communication process is solved. The practical problem of improving the throughput performance of the passive communication system in the system design at the expense of the bit error rate is solved. Finally, based on the probability distribution characteristics of the reflected signal, combined with the signal detection theory, an energy estimation strategy conforming to the environmental reflection signal is designed. The throughput performance and recognition efficiency of the passive sensing system are significantly improved.