周小平, 李莉, 汪敏, 方勇, 张静. 分布式多入多出正交频分复用快衰落感知估计[J]. 电波科学学报, 2013, 28(1): 147-153.
      引用本文: 周小平, 李莉, 汪敏, 方勇, 张静. 分布式多入多出正交频分复用快衰落感知估计[J]. 电波科学学报, 2013, 28(1): 147-153.
      ZHOU Xiaoping, LI Li, WANG Min, FANG Yong, ZHANG Jing. Compressed channel sensing estimation for fast fading distributed MIMO-OFDM systems[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2013, 28(1): 147-153.
      Citation: ZHOU Xiaoping, LI Li, WANG Min, FANG Yong, ZHANG Jing. Compressed channel sensing estimation for fast fading distributed MIMO-OFDM systems[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2013, 28(1): 147-153.

      分布式多入多出正交频分复用快衰落感知估计

      Compressed channel sensing estimation for fast fading distributed MIMO-OFDM systems

      • 摘要: 针对分布式多输入多输出正交频分复用(MIMO-OFDM)快衰落系统,为了消除快衰落信道的干扰,提出一种分布式MIMO-OFDM系统快衰落信道估计方法.该方法利用分布式快衰落信道间的感知信息在空间、时延和多普勒频移上具有的互相关性,求取三维互相关联合稀疏信道模型.推导预相关随机导频测量矩阵,结合分布式压缩感知算法,以能量有效的方式,对快衰落稀疏信道参数进行联合压缩测量和重构,得到各分布式MIMO接收端任意的稀疏信道系数.理论分析与仿真结果都表明,该方法与传统的信道估计方法相比,可以明显提高系统频谱效率和误码率,减少计算复杂度.

         

        Abstract: To estimate the fast fading of propagating channels,a channel estimation algorithm was proposed in distributed multipleinput multipleoutput(MIMO)orthogonal frequency division multiplexing(OFDM)fast fading systems.Joint sparse models between the antenna nodes could be exploited with spatialdelayDoppler correlation.A structurally random pilot matrix was given with precorrelation.The sparse channel impulse response was compressed and reconstructed in an energy efficient manner based on distributed compressed sensing algorithm.The distributed MIMO channels were estimated with arbitrarily different coefficients.The simulation results show that the new channel estimator can provide a considerable performance improvement in estimating fast fading channels,when the significant reduction is achieved in the required number of pilots and computational complexity.

         

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