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Channel estimation method with improved performance for the UMTS-TDD mode

机译:用于UMTS-TDD模式的具有改进性能的信道估计方法

摘要

Channel estimation is an essential building block for UTRA-TDD high performance receivers. Once the performance of the channel estimator algorithm proposed by 3GPP is highly dependent on the time spreading between consecutive multi-path components, a Successive Multi-path channel Estimation Technique (SMET) that improves the time resolution is proposed in this paper. A SMET based maximum likelihood approach for vectorial channel estimation, to include the estimation of the direction-of-arrival, is also proposed. This algorithm solves efficiently the complex problem of DOA estimation of multiple users in a multi path propagation environment even when the number of required DOA's exceeds the number of antenna array elements. Another property of the proposed algorithm is its ability to resolve signals from different users arriving from the same direction. This is due to processing in both time and space dimensions. The performance of these algorithms is assessed by resorting to simulations in multi-path environments using the UMTS-TDD specifications, and also by comparing the rms estimation errors against the Crámer-Rao Bound. The effect of imperfect channel estimation on the performance of RAKE and Hard-Decision Parallel Interference Canceller receivers is also analysed. The results show that a good performance can be achieved with SMET, from low to high values of Eb/n0.
机译:信道估计是UTRA-TDD高性能接收机的重要组成部分。一旦3GPP提出的信道估计算法的性能高度依赖于连续多径分量之间的时间扩展,便提出了一种改进时间分辨率的连续多径信道估计技术(SMET)。还提出了一种基于SMET的矢量信道估计最大似然方法,其中包括到达方向的估计。该算法有效地解决了在多径传播环境中多个用户的DOA估计的复杂问题,即使所需的DOA的数量超过了天线阵列元件的数量也是如此。所提出算法的另一个特性是它能够解析来自同一方向的不同用户的信号。这是由于在时间和空间维度上都进行了处理。这些算法的性能可以通过使用UMTS-TDD规范在多路径环境中进行仿真来评估,也可以通过将均方根估计误差与Crámer-Rao界限进行比较来评估。还分析了不完善的信道估计对RAKE和硬判决并行干扰消除器接收机性能的影响。结果表明,从Eb / n0的低值到高值,SMET都可以实现良好的性能。

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