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Phase noise mitigation in MIMO-OFDM systems with independent oscillators

机译:独立振荡器MIMO-OFDM系统中的相位噪声缓解

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In this paper, we propose a phase noise cancellation algorithm in MIMO-OFDM systems where each transmit (TX) and receive (RX) antenna is equipped with independent oscillator. Most of previous works have considered phase noise model only in SISO-OFDM or simplified phase noise model in MIMO systems assuming that each TX and RX end shares one local oscillator. Recently, however, the local oscillator for each TX and RX antenna can be different for some reasons, in particular for the case of mmWave based wireless systems. In our paper, maximum a posteriori (MAP) estimator is used to jointly estimate phase noise at TX and RX and detect data symbols. Also we derive Bayesian Crame?r-Rao bound (BCRLB) for the phase noise processes. At the end of this paper, we demonstrate from our simulation results that the application of proposed algorithm improves the bit-error-rate performance and its mean squared error can be close to BCRLB.
机译:在本文中,我们提出了一种在MIMO-OFDM系统中的相位噪声消除算法,其中每个发送(TX)和接收(RX)天线配备有独立的振荡器。以前的大多数作品仅考虑了MIMO系统中的SISO-OFDM或简化相位噪声模型的相位噪声模型,假设每个TX和RX结束共享一个本地振荡器。然而,近来,由于基于MMWAVE的无线系统的情况,每个TX和RX天线的本地振荡器可以是不同的。在我们的论文中,最大后验(MAP)估计器用于在TX和Rx处联合估计阶段噪声并检测数据符号。此外,我们也派生了贝叶斯的Crame?R-Rao绑定(BCRLB)的相位噪声过程。在本文末尾,我们从我们的仿真结果中展示了所提出的算法的应用提高了比特差值性能,并且其平均方形错误可以接近BCRLB。

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