摘要
针对无线通信系统中经常出现的稀疏多径信道,应用压缩感知理论,建立了局部稀疏多径信道的数学模型,利用SL0算法对信道进行估计与研究。在建模的过程中,从数学角度对数学模型进行了推导,验证了在信道估计中应用压缩感知的可行性。采用的模型能够更精确地重构出原始信号,有效抑制干扰,降低误差。与已有的算法相比,SL0算法在均方误差、重构精度、匹配度以及算法复杂度等方面都要优于其它算法。理论分析和计算机仿真均表明,SL0算法的高效性和局部稀疏信道模型的实用性。
Sparse multi-path channels are often appeared in wireless communications. The theory of compressed sensing to estab- lish the mathematical model of the partial sparse multi-path channels, and then channel estimation is made by using the optimal SL0 algorithm. In the partial sparse multi-path channels, the mathematical model is derivated, and then the feasibility of channel estimation about the application of compressed sensing is verified from the mathematical point. The model can reconstruct the original signal more accurately so that the system can suppress the interference more effectively and reduce errors to a large extent. SL0 algorithm is better than other algorithms in MSE, reconstruction precision, matching degree as well as the compute complexity. The simulation results validate the proposed algorithm and channel model.
出处
《计算机工程与设计》
CSCD
北大核心
2014年第3期785-790,共6页
Computer Engineering and Design
基金
国家自然科学基金项目(61072137)
