摘要
自组织的随机模式广播式多输入多输出(MIMO)系统信道容量的估计是基于系统接收端传感器天线数量是确定的,而发送端传感器天线数量是随机的.为了精确估算此系统的信道容量,把ZFDPC(ZEROFORCEDIRTYPAPERCODE)算法和贝叶斯(Bayes)方法结合起来,对发送端和固定端天线数量固定的MIMO系统的信道容量进行修正.仿真试验表明:这样的算法对于随机广播式MIMO系统信道容量的估算是合理的.
The estimation of the channel capacity of a self-organized broadcast multiple-input multiple-output system is based on the fact that the number of the sensors at receiving end is determined while the number of the sensors at sending end is random.In order to accurately evaluate the capacity of the system,The estimation of the channel capacity of a multiple-input multiple-output system in which the number of the sensors at receiving end and the number of the sensors at sending end are all determined is modified by combining the zero-forcing dirty paper coding algorithm with Bayesian algorithm.The simulation tests show that this algorithm is effective to the self-organized broadcast multiple-input multiple-output system.
出处
《西安石油大学学报(自然科学版)》
CAS
北大核心
2009年第1期88-91,95,共5页
Journal of Xi’an Shiyou University(Natural Science Edition)