Sequential Bayesian inference based adaptive modulation recognition algorithm
FU Jun-qiang1, LI Rong2, ZHAO Cheng-lin1, LI Bin1
1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications,
Beijing 100876, China; 2. The State Radio Monitoring Center, Beijing 100037, China
提出了一种时变衰落信道下的自适应调制识别算法,设计出一种新的动态状态空间模型,来刻画信号调制方式与时变信道增益的时变特性,并引入一阶有限状态马尔可夫(finite state Markov channel,FSMC)模型来描述衰落信道;基于上述,新算法采用贝叶斯序贯推理法,充分发掘利用了其中所隐含的信道动态相关特性,实现对调制方式和时变信道增益的联合估计。仿真结果表明,新算法性能相比于传统ALRT算法有极大提升,且增加采样点数或者降低多普勒频移值都会使算法性能得到改善。
FU Jun-qiang, LI Rong, ZHAO Cheng-lin, LI Bin. Sequential Bayesian inference based adaptive modulation recognition algorithm[J]. Systems Engineering and Electronics, doi: 10.3969/j.issn.1001-506X.2015.12.30.