摘要
在短波Watterson模型中,时变抽头增益为复随机过程,存在较难估计的问题。为此,通过研究信道的马氏性对其进行简化。将连续时变的信道增益离散化为有限状态值,建立一阶有限状态马尔可夫(FSM)模型,给出FSM模型的状态空间、平稳状态概率、状态转移概率等参数,研究FSM模型的状态平均错误概率、状态平均停留时间和状态停留时间的分布等特性。仿真结果验证了马尔可夫模型描述短波信道的准确性。
A study of Markov characteristics for simplifying the model of high frequency channel is presented aiming at the problem of the randomly time-varying tap which is difficult to estimate. By partitioning the continuous-value channel gain into a finite mumber of states are modeled as a first-order Finite-state Markov（FSM） chain. The parameters of the FSM model such as stationary probability and transition probability are calculated with the given fading characteristic parameters. It analyzes the average error probability and the characteristics of state duration for the FSM model. The validity and accuracy of the model are confirmed by the simulation.
出处
《计算机工程》
CAS
CSCD
2012年第20期17-20,25,共5页
Computer Engineering
基金
国家"863"计划基金资助项目(2009AA011205)
