Research On OFDM Decoding Technology Of Asymmetric Architecture

The flourish development of Internet-of-things?IoT?industry and technology has led to an explosive growth in network traffic produced by IoT devices.The Wi-Fi protocol is applicable to IoT scenarios due to its high transmission rate and high spectrum utilization^[1].However,its excessive power consumption greatly reduces the service life of IoT devices.Presently,an important low-power technology is called asymmetric transceiver structure design^[2]which increases the energy consumption of one end to compensate for the energy consumption of the other end.However,such transceiver designs have problems such as complex design,poor compatibility with existing equipment,and vulnerability to interference.As a consequence,it is of great significance to come up with a asymmetry transceiver with simplified design,low power consumption and anti-interference characteristics.This thesis proposes an asymmetric oversampling architecture based on Wi-Fi protocol,which reduces transmission power of sensors and increases sampling rate of AP to ensure the accuracy of decoding.In this thesis,an advanced timing synchronization algorithm and cyclic prefix cancellation algorithm are designed based on the oversampling mechanism to improve synchronization accuracy and discriminate signal distortion,respectively.At the same time,to reduce the influence of interference signals,the anti-interference demodulation algorithm constructs an interference model based on kernel density estimation.Through real-world test comparison,we found that the uplink decoding algorithm reduces the power consumption of the transmitter by more than 30%compared with the traditional Wi-Fi protocol,and has better error rate performance in the interference environment such as the co-channel interference and adjacent channel interference.