【摘 要】
：
针对采用非正交多载波调制的无线通信系统中,信道的稀疏度未知且非零稀疏路径随时间变化的问题,提出了一种基于导频信号互相关运算的压缩感知信道估计方法,利用接收端导频信
【机 构】
：
南开大学电子信息与光学工程学院,天津市光电传感器与传感网络技术重点实验室,
论文部分内容阅读
针对采用非正交多载波调制的无线通信系统中,信道的稀疏度未知且非零稀疏路径随时间变化的问题,提出了一种基于导频信号互相关运算的压缩感知信道估计方法,利用接收端导频信号互相关计算对信道稀疏度及非零稀疏路径的时延分布进行预估,结合改进的低复杂度压缩感知重构算法得到信道估计结果.针对非正交多载波调制系统具有频谱利用效率高、信道环境适应性强的优点,对非正交多载波调制系统的导频图案进行优化设计,提高压缩感知信道估计算法的精度.仿真结果和理论分析表明:该方法不仅能够提高非正交多载波调制系统的频谱效率,还可以降低系统传输误码率与计算复杂度.
Aiming at the problem that channel sparsity is unknown and non-zero sparse paths change with time in wireless communication systems using non-orthogonal multi-carrier modulation, a compressed perceptual channel estimation method based on cross-correlation of pilot signals is proposed. End pilot signal cross-correlation calculation of the channel sparseness and non-zero sparse path delay distribution estimation, combined with improved low complexity compressed sensing reconstruction algorithm to obtain the channel estimation results for non-orthogonal multi-carrier modulation system with spectrum By using the advantages of high efficiency and strong channel environment adaptability, the pilot pattern of non-orthogonal multi-carrier modulation system is optimized to improve the accuracy of the compressed sensing channel estimation algorithm.The simulation results and theoretical analysis show that this method can not only improve the non-orthogonal The spectral efficiency of orthogonal multi-carrier modulation system can also reduce the system transmission error rate and computational complexity.
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