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ZFDPC编码自组织传感器网络信道容量的研究
引用本文:翟永智,景占荣,徐振华.ZFDPC编码自组织传感器网络信道容量的研究[J].西安石油大学学报(自然科学版),2009,24(1).
作者姓名:翟永智  景占荣  徐振华
作者单位:西北工业大学,电子信息学院,陕西,西安,710072
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.

关 键 词:自组织广播式多输入多输出系统  信道容量  ZFDPC算法  后验分布  贝叶斯(Bayes)估计

Research of the channel capacity of self-organized sensor network based on ZFDPC code
ZHAI Yong-zhi,JING Zhan-rong,XU Zhen-hua.Research of the channel capacity of self-organized sensor network based on ZFDPC code[J].Journal of Xian Shiyou University,2009,24(1).
Authors:ZHAI Yong-zhi  JING Zhan-rong  XU Zhen-hua
Abstract: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.
Keywords:self-organized broadcast mutiple-input multiple-output system  channel capacity  zero-forcing dirty paper coding  posterior distribution  Bayes estimation
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