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Improving uplink adaptive antenna algorithms for WCDMA by covariance matrix compensation

机译:通过协方差矩阵补偿改进WCDMA的上行链路自适应天线算法

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This document addresses the estimation of long-term spatial covariance matrices. Many beamforming techniques are based on those matrices. In the past, they often have been assumed to be perfectly known, since long averaging processes can be applied. However, a systematic error is committed when using conventional methods for the estimation. We discuss the occurrence and the performance impact of this error. A simple compensation scheme is introduced which completely removes this error. Simulation results are presented for a multiuser WCDMA environment. For beamforming methods based on maximizing the signal power, gains of more than 2 dB are observed. The impact of the systematic error on SINR maximizing algorithms is minor, so that the improvement of the compensation scheme is slight. The results show that an estimate for the interference covariance is needed in all cases, either for compensating the signal covariance or for SINR based techniques.
机译:该文件解决了长期空间协方差矩阵的估计问题。许多波束成形技术都基于这些矩阵。在过去,由于可以应用长时间的平均过程,因此通常假定它们是众所周知的。但是,当使用常规方法进行估计时,会发生系统错误。我们讨论此错误的发生和性能影响。引入了一种简单的补偿方案,该方案可以完全消除该误差。给出了针对多用户WCDMA环境的仿真结果。对于基于最大信号功率的波束成形方法,可以观察到大于2 dB的增益。系统误差对SINR最大化算法的影响很小,因此补偿方案的改进很小。结果表明,在所有情况下都需要估算干扰协方差,以补偿信号协方差或基于SINR的技术。

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