摘要
文中通过预测相长干扰来最大化用户的信噪比(SINR),在总功率约束条件下,利用最小均方误差(MMSE)方法对累积压缩干扰增益(CCIG)的相长干扰区域进行松弛处理,根据Karush-Kuhn-Tucker(KKT)条件得到Lagrange乘数来推导最优发射信号向量。数值计算结果表明,与其他现有技术相比,在多径信道和非均匀信道环境下,该数据辅助预编码方案可提供更多的CCIG,从而提高了误码率(SER)。
In this paper,the constructive interference is predicted to maximize the user’s signal-to-noise ratio(SINR).Under the condition of total power constraint,the phase length interference region of the cumulative compression interference gain(CCIG)is relaxed by the minimum mean square error(MMSE)method.According to the karush Kuhn Tucker(KKT)condition,the Lagrange multiplier is obtained to derive the optimal transmission signal vector.The numerical results show that the data aided precoding scheme can provide more CCIG in multipath channel and non-uniform channel environment,thus improving the SER.
作者
袁华兵
YUAN Hua-bing(Information Technology Department of Xi’an Medical College,Xi’an 710021,China)
出处
《信息技术》
2020年第7期92-97,共6页
Information Technology
关键词
链路通信
自适应
相长干扰
最小均方误差
信噪比
link communication
adaptive
phase length interference
minimum mean square error
SINR
