TDCS的压缩感知稀疏信道估计方法

为充分利用变换域通信系统高速无线传输时信道表现出来的稀疏多径传输特性,提高TDCS的信道估计精度,提出一种基于压缩感知的TDCS稀疏信道估计方法。针对TDCS设计了一种导频图案,该导频图案设计的数据帧结构保证了TDCS信号授权用户的正交性,且其构造的测量矩阵具有较低的互相关特性;利用Dantzig Selector重构稀疏信道冲激响应值。基于COST207乡村信道模型的仿真表明:新方法可有效降低稀疏信道估计的均方误差,在误比特率为0.002时可获得比最小二乘估计方法高约1dB的性能增益。

A Compressed Sensing Sparse Channel Estimation Method for TDCS

To make full use of the sparse multipath transmission characteristics of the channel when transform domain communication system is in the high-speed wireless transmission status and improve the channel estimation accuracy of TDCS, a compressed sensing sparse channel estimation method is proposed for TDCS.A pilot pattern is designed for TDCS ,the data frame by it maintains the orthogonality between TDCS signals and the main user meanwhile the measurement matrix has weak mutual coherence , then the channel impulse response is reconstructed by the method of Dantzig Selector. Simulations based on COST207 rural area channel model show that the use of new algorithm can effectively reduce the mean square error of the sparse channel estimation and get 1dB performance gain compared with the least square estimation algorithm when the bit error rate is 0.002.