1. An effective localization method for mixed far-field and near-field strictly non-circular sources.
- Author
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Wang, Qing, Wang, Xian, Chen, Hua, Zhu, Xiaotian, Liu, Wei, Yan, Weiqing, and Wang, Laihua
- Subjects
- *
MULTIPLE Signal Classification , *COVARIANCE matrices , *NEAR-fields , *FOLK music - Abstract
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. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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