中文摘要：

高速移动下的无线宽带通信要经历时间和频率的双选择性衰落，为了使发送的数据经过衰落的信道后在接收端被正确地接收，必须要对信道状态信息进行估计。本文根据双选信道在时延一多普勒域具有稀疏性，研究了OFDM系统中基于压缩感知的双选信道估计。为了克服信道的双选特性对信道估计造成的不稳定性，采用了正则正交匹配追踪（Regularized Orthogonal Matching Pursuit，ROMP）算法对信道进行估计。理论分析和仿真结果表明，与传统的最小二乘算法比较，在获得同样估计性能的条件下，采用ROMP算法和OMP算法需要的导频数大大减小；而且采用ROMP算法的信道估计要比OMP算法更加稳定，在同等条件下信道估计性能更好。

英文摘要：

High data rates and high mobility introduce time and frequency selectivity in wideband wireless communica- tion. We need to estimate the channel state information so that the data through fading channel can be received correctly. Exploiting the sparsity of doubly selective wireless channel in both delay domain and Doppler domain, we study the doubly selective channel estimation based on compressed sensing. In order to overcome the instability of the channel estimation caused by the multipath delay spread and Doppler shift, the channel estimation based on ROMP algorithm is studied in this paper. Theoretical analysis and simulation show that the compressive sensing estimation has better performance but with fe- wer pilots than conventional least square estimation, furthermore, ROMP has.better estimation performance than OMP with higher robustness.