赵知劲, 谢少萍, 胡伟康, 王海泉, 沈雷. 基于高阶累积量的正交空时分组码盲识别[J]. 电波科学学报, 2014, 29(3): 521-527. doi: 10.13443/j.cjors.2013050301
      引用本文: 赵知劲, 谢少萍, 胡伟康, 王海泉, 沈雷. 基于高阶累积量的正交空时分组码盲识别[J]. 电波科学学报, 2014, 29(3): 521-527. doi: 10.13443/j.cjors.2013050301
      ZHAO Zhijin, XIE Shaoping, HU Weikang, WANG Haiquan, SHEN Lei. Blind recognition of the orthogonal space-time block code based on higher-order cumulants[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2014, 29(3): 521-527. doi: 10.13443/j.cjors.2013050301
      Citation: ZHAO Zhijin, XIE Shaoping, HU Weikang, WANG Haiquan, SHEN Lei. Blind recognition of the orthogonal space-time block code based on higher-order cumulants[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2014, 29(3): 521-527. doi: 10.13443/j.cjors.2013050301

      基于高阶累积量的正交空时分组码盲识别

      Blind recognition of the orthogonal space-time block code based on higher-order cumulants

      • 摘要: 针对多输入多输出(Multiple-Input-Multiple-Output, MIMO)系统中的空时码盲识别问题,提出一种基于高阶累积量的正交空时分组码(Orthogonal Space-Time Block Code, OSTBC)盲识别方法.推导给出了接收信号的两种高阶累积量公式,该高阶累积量包含发射信号信息,由此提出识别OSTBC信号的两个特征参数;利用MIMO信道估计得到空间信道矩阵,并提出了两种特征参数的估计方法;最后,利用最小距离准则实现对OSTBC信号的分类识别.仿真结果表明:所提出方法的正确识别率高于已有的识别方法,具有良好的识别性能.

         

        Abstract: In the light of the blind recognition of space-time coding scheme used in multiple-input-multiple-output (MIMO) communication systems, a blind recognition method of orthogonal space-time block coding (OSTBC) based on higher-order cumulant was proposed. Firstly, two kinds formulas of the higher-order cumulant of the received signal were derived, which contain the transmit signal information, and two characteristic parameters which use to recognize OSTBC were proposed. Secondly, the MIMO channel estimation was used to get spatial channel matrix, and the estimation method of two characteristic parameters was presented. Finally, the minimum distance criterion was utilized to achieve the recognition of the OSTBC signal. Simulation results show that the correct identification probability of the proposed method is higher than that of the existing algorithm and the proposed algorithm has a good recognition performance.

         

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