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Joint Space and Time Processing for Unknown Mutual Coupling Blind Calibration and Mixed Sources Identification Using Uniform Circular Array

1
School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710068, China
2
School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide 5005, Australia
*
Authors to whom correspondence should be addressed.
Electronics 2019, 8(5), 525; https://doi.org/10.3390/electronics8050525
Received: 31 March 2019 / Revised: 5 May 2019 / Accepted: 6 May 2019 / Published: 10 May 2019
(This article belongs to the Special Issue Recent Advances in Array Antenna and Array Signal Processing)
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Abstract

In classification and localization of mixed far-field and near-field sources, the unknown mutual coupling degrades the performance of most high-resolution algorithms. In practice, the assumption of an ideal receiving sensor array is rarely satisfied. This paper proposes an effective algorithm of mixed sources identification using uniform circular array under unknown mutual coupling. Firstly, according to rank reduction and joint space–time processing, the directions of arrival of far-field sources is estimated directly without mutual coupling elimination. Addition, the joint space–time processing can improve the estimation results in the case of low signal noise ratio of incoming signal sources and small number of snapshots. Then, these estimates are adopted to reconstruct the mutual coupling matrix. Finally, both direction and range parameters of near-field sources are obtained through spatial search after mutual coupling effects and far-field components elimination. The proposed algorithm is described in detail, and its behavior is illustrated by numerical examples. View Full-Text
Keywords: space–time; uniform circular array; mixed sources; mutual coupling space–time; uniform circular array; mixed sources; mutual coupling
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Wang, K.; Wang, L.; Xie, J.; Wang, Y.; Zhang, Z. Joint Space and Time Processing for Unknown Mutual Coupling Blind Calibration and Mixed Sources Identification Using Uniform Circular Array. Electronics 2019, 8, 525.

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