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针对多跳协作虚拟多输入多输出(virtual multiple input multiple output,V-MIMO)系统信道估计问题,研究分析了多跳级联信道和能量泄露对信道稀疏性的破坏性,考虑到采用译码转发协作能够避免级联信道估计产生的估计误差积累,遗传算法优化正交基可以提高信道稀疏度,提出基于译码转发协作的多跳协作V-MIMO系统的遗传算法优化正交基信道估计算法.仿真结果表明,相比放大转发,所提出的算法提高了信道估计精确度、降低了多跳协作V-MIMO系统的误符号率.
Aiming at the problem of multi-hop cooperative channel estimation in virtual multiple input multiple output (V-MIMO) system, the destructiveness of multi-hop cascaded channel and energy leakage on channel sparsity is studied and analyzed. Considering the use of transcoding Collaboration can avoid the estimation error accumulation caused by the cascaded channel estimation. Genetic algorithm optimizes the orthogonal basis to improve the channel sparsity, and proposes a genetic algorithm to optimize the orthogonal basis channel estimation algorithm of the multi-hop cooperative V-MIMO system based on the decoding and forwarding cooperation. The simulation results show that compared with amplification and forwarding, the proposed algorithm improves the channel estimation accuracy and reduces the symbol error rate of multi-hop cooperative V-MIMO system.