Frequency Sequence Estimation Based on Hidden Markov Model for Differential Frequency Hopping

摘要：

As a frequency hopping communication system with memory, the Hidden Markov Model (HMM) of differential frequency hopping (DFH) is presented firstly, then a frequency sequence estimation algorithm based on minimum sequence error (MSE) criteria is proposed. in order to evaluate the algorithm, we compare this frequency sequence estimation method with traditional hop-by-hop frequency estimation by numerical simulating. The simulation results show that compared to hop-by-hop frequency estimation, this algorithm can effectively reduce the illegal frequency transfer states through maximum-likelihood searching, which can improve the performance of DFH effectively.

关键词： differential frequency hopping hidden Markov model, sequence estimation minimum sequence error frequency detection

作者: Zhang Yi Yao Fu-qiang

作者单位: Nanjing Telecommunication Technology Institute, Nanjing, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1497-1501

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）