双极化天波大规模MIMO鲁棒预编码方法

Robust Precoding for Dual-Polarized Sky-wave Massive MIMO

天波通信利用电离层反射短波信号,在没有中继站的情况下能够实现数千公里的超长距离信号传输。此外,天波通信还具有广泛的覆盖区域、强大的抗干扰能力和良好的机动性,在应急救灾及边远地区信息服务等领域有重要价值。大规模MIMO应用于天波通信可以极大地提升系统性能,为了应对高移动场景下不完美CSI对天波大规模MIMO系统性能带来的严峻挑战,提出一种使用双极化天线的鲁棒预编码方法。通过建立双极化天波大规模MIMO后验信道模型,用统计方式描述信道估计误差、信道老化和空间相关性,给出相应的能效最大化优化问题。针对这一问题,提出了考虑交叉极化干扰的鲁棒预编码器设计的迭代算法。数值结果表明,与传统方法相比,所提算法能提高天波大规模MIMO系统的性能。

Sky-wave communication utilizes ionospheric reflection of shortwave signals and can support ultra-long distance signal transmission of thousands of kilometers without relay stations.In addition,sky-wave communication has a wide coverage area,strong anti-interference capability,and good mobility,which is of great value in emergency relief and information services in remote areas.The application of massive multiple-input multiple-output(MIMO)in sky-wave communication can greatly improve system performance.In order to address the severe challenges posed by imperfect channel state information in high mobility scenarios to the performance of sky-wave massive MIMO systems,a robust precoding method using dual polarized antennas is proposed.By establishing a posterior channel model for dual polarized sky-wave massive MIMO,the channel estimation error,channel aging,and spatial correlation are statistically described,and the corresponding energy efficiency maximization optimization problem is given.To address this issue,an iterative algorithm is proposed for the design of robust precoder with the cross-polarization interference.Numerical results indicate that compared with traditional methods,the proposed algorithm can improve the performance of sky-wave massive MIMO systems.