计算机科学 ›› 2020, Vol. 47 ›› Issue (11A): 349-353.doi: 10.11896/jsjkx.191100090
陈平1, 郭秋歌2, 李攀1, 崔峰1,2
CHEN Ping1, GUO Qiu-ge2, LI Pan1, CUI Feng1,2
摘要: 众所周知,一个宽带无线信道的冲击响应是近似稀疏的,从某种意义上,相对于时延扩展来讲,它仅有一小部分重要的组成成分。针对正交频分复用系统,基于稀疏贝叶斯学习方法,提出两种稀疏信道估计算法:稀疏贝叶斯算法和联合稀疏贝叶斯算法。在信道测量矩阵未知的情况下,所提算法仍能够有效地估计出信道抽头。蒙特卡洛仿真显示,与经典正交匹配追踪算法和变分消息传递算法相比,所提算法在均方误差和误码率相同的情况下,信噪比有3~5 dB的提升。
中图分类号:
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