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: 5

Abstract

Ultra wideband (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 UWB 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 in the presence of inband interferers is proposed in this paper. 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. It is proven that the proposed new matrix would span the same subspace as the direction of arrival vectors and the eigen vectors corresponding to the zero eigen value of the product of this new matrix with its Hermitian would span the orthogonal compliment of the DOA subspace. Computer experiments are included to verify the performance of the proposed algorithm.
WiMedia UWB系统中多路径簇的DOA估计
超宽带(UWB)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。本文提出了一种利用多波段超宽带系统中已知导频信号估计带内干扰下簇的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。证明了所提出的新矩阵可以张成与到达向量方向相同的子空间,并且该新矩阵与厄米矩阵之积的零特征值对应的特征向量可以张成DOA子空间的正交补。计算机实验验证了所提算法的性能。
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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