无线传感器网络下多级迭代并行干扰消除方法OA

In multi-user scenarios,wireless sensor network nodes exhibit multi-level attributes,and parallel node networks may experience interference.To this end,a multi-level iterative parallel interference cancellation method is proposed for wireless sensor net-works.Periodic wake-up of wireless sensor network nodes is carried out,and combined with compressive sensing theory,the problem of interference source localization is transformed into a sparse vector reconstruction problem.By analyzing the power change law,the loca-tion of multi-level iterative parallel interference sources is determined.By using the maximum signal-to-noise ratio interference alignment algorithm,the precoding matrix and interference cancellation matrix of the wireless sensor network are obtained.Multi level it-erative parallel interference spatial alignment is carried out to construct a dual objective optimal game model,ultimately achieving multi-level iterative parallel interference cancellation in the wireless sensor network.The simulation results show that the ErrL value of the proposed method is below 0.1 m,the residual interference is controlled at around 10 dB,and the error rate is below 0.05%.It has good performance in multi-level iterative parallel interference cancellation in wireless sensor networks.