摘要
为了寻找一个可靠性较高且复杂度较低的多输入多输出(Multiple Input Multiple Output,MIMO)检测算法,文中基于MIMO系统中传统的排序的迫零串行干扰抵消ZF-OSIC(Zero Forcing-Ordered Successive Interference Cancellation,ZF-OSIC)以及最大似然ML(Maximum Likelihood,ML)信号检测算法,提出一种将两种传统算法相结合的新算法,ZF-OSIC K-correction检测算法,该算法综合了二者的优点。运用ML算法中的枚举思想来选择性地修正ZF-OSIC算法得到的检测结果,从而在算法复杂度增加不大的情况下,得到性能的改善,准确度更加逼近ML算法。
In order to find a new algorithm with high reliability and low complexity,based on the conventional ZF-OSIC（Zero Forcing-Ordered Successive Interference Cancellation） and ML （ Maximum Likelihood） algorithms for MIMO（Multiple Input Multiple Output） detection,a new algorithm , Z F -O S IC K-correction,created by combining these two algorithms together is put forward. This new algorithm integrates the advantages of these two algorithms. Using the enumeration in ML to amend the detection result of the ZF-OSIC selectively,the performance is improved and closer to the performance of ML with little increase in the complexity.
出处
《信息技术》
2017年第4期165-168,173,共5页
Information Technology
