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作 者:蒋占军[1] 刘庆达 JIANG Zhanjun;LIU Qingda(School of Electronics and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
机构地区:[1]兰州交通大学电子与信息工程学院,兰州730070
出 处:《电子与信息学报》2021年第10期2878-2885,共8页Journal of Electronics & Information Technology
基 金:甘肃省无线电监测定位创新团队(2017C-09);兰州交通大学“百名青年优秀人才培养计划”基金(150220232)。
摘 要:针对高速移动环境中双色散信道会出现信道估计可靠性下降的问题,该文在正交时频空(OTFS)调制系统的输入-输出模型中提出一种基于压缩感知的信道估计算法。该算法利用信道中最大多普勒频移和最大时延确定导频发送矩阵的大小,相比传统的正交匹配追踪(OMP)信道估计算法,能够在保证相似信道估计准确度的情况下节省导频资源;并在此基础上,对OTFS调制符号做相位旋转,增加差分矩阵的秩,理论分析和仿真结果表明,该方案能够提升OTFS系统的分集阶数进而降低噪声的干扰。In view of the problem that dual-dispersion channels will reduce the reliability of channel estimation in high-speed mobile environments,a channel estimation algorithm based on compressed sensing is proposed in the input-output model of Orthogonal Time-Frequency-Space(OTFS)modulation system.The maximum Doppler shift and the maximum delay in the channel are employed to determine the size of the pilot transmission matrix in the algorithm.Compared with the traditional Orthogonal Matching Pursuit(OMP)channel estimation algorithms,the pilot resources can be saved in the proposed algorithm while the accuracy of similar channel estimation is guaranteed.Furthermore,the phase rotation of the OTFS modulation symbols is used to improve the rank of the differential matrix.Theoretical analysis and simulation results show that the diversity order of the OTFS system is improved and noise interference is reduced.
关 键 词:正交时频空调制 信道估计 正交匹配追踪 相位旋转
分 类 号:TN92[电子电信—通信与信息系统]
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