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论文类型：期刊论文

发表时间：2019-11-01

发表刊物：DIGITAL SIGNAL PROCESSING

收录刊物：SCIE、EI

卷号：94

期号：,SI

页面范围：137-145

ISSN号：1051-2004

关键字：DOA estimation; Near-field; Noncircular signals; Quaternion; Massive MIMO

摘要：In this paper, a novel localization method is proposed for DOA, range and polarization estimation of near-field noncircular sources in massive multiple-input-multiple-output (MIMO) systems. Compared with traditional MUSIC-based algorithms, the proposed algorithms can separate the polarization parameters from the spatial spectrum function, avoiding the four-dimensional (4-D) spectrum search and realizing the fast localization of the near-field source with high accuracy. First, the dimension-reduced MUSIC (DR-MUSIC) algorithm is proposed for DOA and range estimation with low computational complexity, and given a closed-form expression of polarization estimation. Next, based on the quaternion theory, a novel algorithm named quaternion non-circular MUSIC (QNC-MUSIC) is proposed for parameter estimation of non-circular signals with high estimation accuracy. In addition, the analysis of the computational complexity and simulations of the proposed method are provided, showing that the proposed method yields a better performance than DR-MUSIC in massive MIMO systems. (C) 2019 Elsevier Inc. All rights reserved.