摘要
超宽带系统信道在特定的场景下,可表现出较强的稀疏特性。考虑IEEE802.15.4a提供的UWB信道参考模型,选取其中稀疏特性较强的信道场景作为背景,结合压缩感知理论对信道估计进行了研究。研究中着重考虑了压缩感知过程的信号重构算法,将一种贪婪的基追踪算法应用到信道模型的重构过程,计算机仿真结果表明信道的稀疏性能够得到准确表达,且稳定性和计算效率均比较理想。
The impnlse response of Ultra-Wideband channel showing strong sparsity in partilucar scenarios. Researched the channel estimation problem based on compressed sensing theory, with consideration of the reference Ultra- Wideband channel models offered by IEEE 802.15.4a. Different reconstruction algorithms of compressed sensing are studied, and a greedy basis pursuit algorithm is applied to the sparse channel reconstruction. The computer simulation indicates that the proposed method has ideal stability and computational efficiency.
出处
《移动通信》
2013年第2期70-76,82,共8页
Mobile Communications
基金
广东省教育部产学研结合项目资助(2009B090300393)
广州市软件(动漫)产业发展资金项目资助(2060404)
关键词
超宽带
信道估计
稀疏信道
压缩感知
贪婪基追踪
ultra-wideband channel estimation sparse channel compressed sensing greedy basis pursuit