| MIMO-OFDM系统低复杂度的同步参数与稀疏信道联合估计 |
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| 引用本文： | 焦键,;郑雪娇.MIMO-OFDM系统低复杂度的同步参数与稀疏信道联合估计[J].南京邮电大学学报(自然科学版),2014(4):94-98. |
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| 作者姓名： | 焦键 ;郑雪娇 |
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| 作者单位： | [1]重庆科创职业学院机电工程学院,重庆402160; [2]重庆邮电大学通信与信息工程学院,重庆400065 |
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| 基金项目： | 重庆市教委科学技术研究（KJ131208）资助项目 |
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| 摘 要： | 由于MIMO-OFDM系统中载波频偏、采样频偏、符号定时误差等多个同步参数及信道的影响,文中提出一种同步参数与信道的最大似然（ML）联合估计算法.稀疏衰落的情况下,该算法使用基于压缩感知（CS）的信道估计,通过较少的接收样值来恢复稀疏信道,以降低复杂度.仿真中通过数值模拟对估计性能进行分析.结果表明,该算法在保持较低复杂度的同时,可获得理想的性能.
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| 关 键 词： | 频偏 符号定时误差 压缩感知 信道估计 |
Low Complexity Joint Estimation of Synchronization Parameters with Sparse Channel for MIMO-OFDM System |
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| Institution: | JIAO Jian,ZHENG Xue-jiao(College of Mechanical and Electrical Engineering, Chongqing Creation Vocational College, Chongqing 402160, China;School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China) |
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| Abstract: | A maximum likelihood （ML） algorithm for joint estimation is proposed to estimate the parameters in sparse channel for MIMO-OFDM system.The proposed algorithm uses a compressed sensing （CS）technique in a sparse fading scenario to recover the sparse channel by fewer receiving samples,thus reducing complexity of the algorithm.The performances of the joint estimation are analyzed through numerical simulations.Simulation results show that the algorithm can provide the ideal performance while maintaining lower complexity. |
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| Keywords: | frequency offset symbol timing error compressed sensing（CS） channel estimation |
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