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基于四阶循环平稳的STBC-OFDM信号盲识别

发布时间:2018-08-03 07:45
【摘要】:针对非理想信道环境下多输入单输出(MISO)通信系统中STBC-OFDM信号的盲识别问题,提出了一种基于四阶循环平稳的STBC-OFDM信号盲识别算法。该方法首先对MISO通信系统中STBC-OFDM信号进行建模;然后利用STBC-OFDM信号编码矩阵的相关性,结合四阶循环平稳特性,推导了不同时延向量下接收信号块的四阶循环矩;最后根据有无尖峰盲识别空时分组码的类型。该方法采用分层识别的思想,无需信道系数、噪声功率和调制方式等先验信息,适合非合作通信场所。仿真结果表明:算法适应于低信噪比的环境,且不受调制方式、相位噪声和多普勒频移影响,实用性很强。
[Abstract]:In order to solve the problem of blind recognition of STBC-OFDM signals in multi-input single-output (MISO) communication systems in non-ideal channel environments, a four-order cyclic stationary blind recognition algorithm for STBC-OFDM signals is proposed. Firstly, the STBC-OFDM signal in MISO communication system is modeled, then the fourth order cyclic moment of the received signal block under different time-delay vectors is derived by using the correlation of STBC-OFDM signal coding matrix and the fourth-order cyclic stationary characteristic. Finally, the type of space-time block code is identified according to whether there is a spike or not. This method adopts the idea of hierarchical recognition and does not need prior information such as channel coefficient noise power and modulation mode so it is suitable for non-cooperative communication sites. Simulation results show that the algorithm is suitable for low SNR environment and is not affected by modulation mode, phase noise and Doppler shift.
【作者单位】: 海军潜艇学院;91183部队;
【分类号】:TN911;TN971


本文编号:2161076

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