基于块稀疏的低复杂度宽带MIMO-OFDM稀疏信道估计方案

CoSaMP压缩采样匹配追踪算法是一种有效且可靠的稀疏信号重构算法。针对大多数宽带MIMO-OFDM稀疏信道估计方案中常被忽略的信号内部特殊结构问题，采用MIMO-OFDM系统模型，分析信号块稀疏结构特性，研究了CoSaMP算法的改进问题。仿真结果表明，与其他信道估计方案相比，所提方案在未知信号稀疏度值的情况下依旧获得了接近理想状态下的系统和速率、归一化均方误差和信号重构效率，有效降低了计算复杂度。可见，所提方案具有很好的信道估计性能。

Low Complexity Wideband MIMO-OFDM Sparse Channel Estimation Scheme Based on Block Sparse

The CoSaMP compression sampling matching pursuit algorithm is an effective and reliable sparse signal reconstruction algorithm. Aiming at the internal structure of the signal itself, which is often ignored in most wideband MIMO-OFDM sparse channel estimation schemes. The improvement problem of CoSaMP algorithm was studied by analyzing the sparse structure characteristics of signal and the MIMO-OFDM system model. Simulation results show that compared with other channel estimation schemes, the proposed scheme obtains a system sum rate, normalized mean squared error and signal reconstruction efficiency close to the ideal state under the condition of unknown signal sparsity value, which effectively reduces the calculation complexity. It can be concluded that the proposed scheme has good channel estimation performance.