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On Symbol-Wise Variational Bayesian CSI Estimation and Detection for Distributed Antenna Systems Subjected to Multiple Unknown Jammers

机译:受多个未知干扰的分布式天线系统的符号明智变分贝叶斯CSI估计和检测

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This letter develops a novel iterative joint channel state information estimation (CSIE), jammer estimation (JE) and data detection (DD) algorithm for orthogonal frequency division multiplexing (OFDM)-based distributed antenna systems in the presence of multiple unknown jammers. In contrast to existing methods that only heuristically combine CSIE, JE and DD, the proposed algorithm rigorously casts the three problems under a unified variational Bayesian inference framework. Simulation results demonstrate that the proposed algorithm converges rapidly, and after convergence, the bit-error-rate performance of the proposed algorithm is very close to that of the ideal case which supposes perfect knowledge of CSI and jammer. In addition, it is shown that the proposed algorithm significantly outperforms other state-of-the-art methods.
机译:这封信开发了一种新颖的迭代联合信道状态信息估计(CSIE),干扰估计(JE)和数据检测(DD)算法,用于在存在多个未知干扰的情况下基于正交频分复用(OFDM)的分布式天线系统。与仅启发式地结合CSIE,JE和DD的现有方法相反,该算法在统一的变分贝叶斯推理框架下严格地解决了这三个问题。仿真结果表明,该算法收敛迅速,收敛后,该算法的误码率性能与理想情况下的理想情况非常吻合,理想情况下对CSI和干扰信号具有很好的了解。另外,表明所提出的算法显着优于其他现有技术方法。

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