Efficient scheme for DOA ESTIMATION of Multipath Clusters in WiMedia UWB systems

A. K. Marath, A. R. Leyman, H. K. Garg
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引用次数: 1

Abstract

UWB systems are expected to find widespread use in future short range applications. Increasing popularity of these devices will require management of occupied spectrum in spatial domain to keep the interference low. In ultra wide band (UWB) communication systems, one encounters many multipath components. By optimally forming beams in the direction of the principal multipath clusters, one can achieve optimum spectrum efficiency. The number of components would depend on the sampling rate as the number of resolvable components depends on it. Besides, many of the multipath components would be coming from the same cluster. The estimation of the direction of arrival (DOA) of these clusters is very useful to focus the transmit power in the optimum direction. A new algorithm, exploiting the known pilot signals of multiband UWB systems for estimation of DOA of clusters is proposed recently. By making use of a new matrix incorporating the cross correlation between the focused UWB signal and the known pilot signal of the transmitted data in each array element, one would be able to separate the multipath clusters from a single source. This paper looks at reducing the number of receivers required for implementing the algorithm. UWB system makes use of the preample to synchronize the incoming data. Hence, one can employ a central processor to sample the data from individual sensors in a time multiplexed fashion. This time multiplexed sampled data can be used for finding the expected value of correlation with known reference data.
WiMedia UWB系统中多径簇DOA估计的有效方法
超宽带系统有望在未来的短距离应用中得到广泛应用。这些设备的日益普及将需要在空间域中管理占用的频谱,以保持低干扰。在超宽带(UWB)通信系统中,会遇到许多多径组件。通过在主多径星团方向上最佳地形成波束,可以获得最佳的频谱效率。组件的数量将取决于采样率,因为可解析组件的数量取决于采样率。此外,许多多路径组件将来自同一个集群。估计这些簇的到达方向(DOA)有助于将发射功率集中在最优方向上。最近提出了一种利用多波段超宽带系统中已知导频信号估计集群DOA的新算法。通过利用一个新的矩阵,将聚焦的超宽带信号与每个阵列元素中传输数据的已知导频信号之间的相互关系结合起来,人们将能够从单个源中分离出多路径集群。本文着眼于减少实现该算法所需的接收器数量。UWB系统利用采样来同步输入数据。因此,可以使用中央处理器以时间复用的方式对来自各个传感器的数据进行采样。此时复用的采样数据可用于寻找与已知参考数据相关的期望值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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