一种多天线对称干扰环境下的干扰消除方法

Interference cancellation method in multi-antenna symmetric interference environment

随着5G技术的逐渐铺开,网络部署越发密集,干扰管理技术被关注的程度越来越高.作为能够有效解决通信行业中频谱资源紧张这一棘手问题的干扰消除技术,通过对收发端的信号的处理,使得干扰信号在接收端进行重叠以达到对期望信号的干扰影响消除的目的,近年来引得越来越多的业内人士致力研究.本文通过对传统干扰消除方法的研究,引入一种基于符号检测的思路应用到最大信干噪比算法提升性能,再融合最小均方误差算法降低算法复杂度,形成一种新的迭代算法.经过计算机仿真,结果证明,该迭代算法在系统误码率的降低上较之前的算法具有更好的性能.

With the gradual application of 5 Gtechnology,network deployment has become more intensive,and interference management technology has become more and more concerned.As an interference cancellation technology that can effectively solve the thorny problem of spectrum resource shortage in the communication industry,the processing of the signal at the transceiver end makes the interference signal overlap at the receiving end to achieve the purpose of eliminating the interference effect on the desired signal.More and more people in the industry are working hard to study.In this paper,the traditional interference cancellation method is introduced,and a symbol-based detection method is applied to improve the performance of the maximum signal-to-noise ratio algorithm.The minimum mean square error algorithm is combined to reduce the complexity of the algorithm,and a new iterative algorithm is formed.After computer simulation,the result proves that the iterative algorithm has better performance than the previous algorithm in reducing the system error rate.