协同无线系统的稀疏信道估计

Sparse Channel Estimation for Cooperative Wireless Systems

协同通信技术是第五代移动通信的重要技术之一,其关键在于获取信道的状态信息,即需要对此系统中经由中继节点而级联形成的信道进行估计。以压缩感知理论作为工具,首先分析了协同无线系统信道的稀疏性,再结合最小二乘法、正交匹配追踪算法和压缩采样匹配追踪算法,对放大前传模式的协同OFDM通信系统稀疏级联信道进行估计,通过仿真对比上述三种算法的性能,得出压缩采样匹配追踪算法在协同无线系统中信道估计性能最优。

Cooperative communication technology is one of the important technologies of the fifth generation mobile communication. The key is to acquire the state information of the channel, that is, it is necessary to estimate the channel formed by the cascade in the system via the relay node. Using the theory of compressed sensing as a tool, the sparseness of the channel of the cooperative wireless system is analyzed firstly. Combined with the least squares method, orthogonal matching pursuit algorithm and compressed sampling matching pursuit algorithm, the sparse cascade channel of the cooperative OFDM communication system with the amplified preamble mode is performed. It is estimated that the performance of the above three algorithms is compared by simulation, and the compressed sampling matching tracking algorithm is obtained. The channel estimation performance is optimal in the cooperative wireless system.