Journal
DIGITAL SIGNAL PROCESSING
Volume 94, Issue -, Pages 125-136Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.dsp.2019.06.003
Keywords
DOA estimation; Far-field; Near-field; Non-circular signals; Massive MIMO
Categories
Funding
- Civil Aerospace Foundation
- National Natural Science Foundation of China [61871282, 61601261]
- Zhejiang Provincial Natural Science Foundation of China [LQ19F010002]
- Natural Science Foundation of Ningbo Municipality [2018A610094]
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In this paper, an effective direction-of-arrival (DOA) and range estimations method for mixed far-field and near-field non-circular sources is proposed based on a large centrosymmetric uniform linear array (ULA). By exploiting the non-circularity of the sources, an extended signal is generated by concatenating the received array data and its conjugate counterparts. Then the DOAs of far-field signals are estimated based on the extended covariance matrix with the traditional MUSIC algorithm. After eliminating the far-field components from the extended signal subspace, the extended covariance matrix of the near-field signals is obtained. Thus a near-field estimator is constructed based on symmetric property of the extended array manifold where the generalized ESPRIT method is adopted to estimate the DOAs of near-field sources. Finally, the range estimator is derived using the DOA estimations of near-field sources. Simulation results are provided to validate that the proposed method has achieved a better performance than existing ones and is quite suitable for massive MIMO (multiple-input multiple-out) system. (C) 2019 Elsevier Inc. All rights reserved.
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