【摘要】 本文采用隐马尔可夫模型(HMM)的一种特例——受限隐马尔可夫模型(CHMM)对正交频分复用(OFDM)系统进行建模,给出了CHMM参数估计算法的改进,可避免计算机编程实现时出现下溢导致的计算失败。通过仿真讨论了CHMM状态数的选取问题,并给出了HIPERLAN/2室内无线信道环境下OFDM系统的一组CHMM,该模型可用于比较不同编码方案的性能或者分析高层协议性能。更多还原

【Abstract】 Constrained Hidden Markov Model (CHMM), which is a special form of Hidden Markov Model (HMM), is used to model Orthogonal Frequency Division Multiplexing (OFDM) systems. The effective scaling method for CHMM parameter estimation is presented to avoid underflow in computer programming. We discuss how to choose proper CHMM state numbers by simulation and provide a group of CHMM for OFDM system in HIPERLAN/2 indoor wireless channel, which can be used to facilitate the comparison of different coding schemes and analysis of high-level protocol performance.更多还原