【作者】 李栋； 朱敏； 武岩波； 李欣国； 张琳园； 郭卫振；

【Author】 LI Dong;ZHU Min;WU Yan-bo;LI Xin-guo;ZHANG Lin-yuan;GUO Wei-zhen;Ocean Acoustic Technology Center,Institute of Acoustics,Chinese Academy of Sciences;University of Chinese Academy of Sciences;Beijing Engineering Technology Research Center of Ocean Acoustic Equipment;State Key Laboratory ofAcoustics,Institute ofAcoustics,Chinese Academy of Sciences;

【机构】 中国科学院声学研究所海洋声学技术中心； 中国科学院大学； 北京市海洋声学装备工程技术研究中心； 中国科学院声学研究所声场声信息国家重点实验室；

【摘要】 为解决水声通信中稀疏多径信道估计的问题,提出一种基于广义近似消息传递算法(GAMP)的匹配追踪(MP)信道估计方法。GAMP-MP算法通过MP迭代确定水声信道的稀疏支撑集,在支撑集内基于GAMP自迭代算法完成信道的准确估计。GAMP算法只涉及标量元素运算,且只在最后一次MP迭代中进行自迭代,大大降低了算法的计算复杂度。之后对算法进行数值仿真并将该算法应用至水声多载波通信系统中,相关结果验证了GAMP-MP的性能优势。更多还原

【Abstract】 A low-complexity generalized approximate message passing(GAMP)-based matching pursuit(MP)algorithm is proposed for the sparse multipath channel estimation in underwater acoustic(UWA)communications.The GAMP-MP determines the sparse support of the UWA channel via MP iterations,and the channel estimation is further solved based on the GAMP inside the sparse support.The GAMP only involves the scalar computations and its self-iteration is performed only in the final MP-iteration,leading to a pretty low complexity.Afterwards,the GAMP-MP is simulated and applied to the UWA multi-carrier communication systems.Related results verify the performance advantage of the GAMP-MP.更多还原