Mixed near-field and far-field sources localization using uniform linear array

Kai Wang, Ling Wang, Zhaolin Zhang, Jian Xie

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Based on the polynomial decomposing method and high-order cumulant (HOC) technique, a novel localization algorithm for the mixed near-field and far-field sources is proposed by using uniform linear array (ULA). Firstly, the ULA is divided into two sub-arrays, with different phase reference points. Three special fourth-order cumulant matrices are designed to eliminate the range parameters of the near field sources in the steering vectors, which only contain the direction of arrival (DOA) information. Secondly, based on the ESPRIT algorithm, the DOA of each source at the phase reference point is estimated. Thirdly, with the DOA estimation, the type of the sources is classified by computing its coefficient matrix. Finally, the range parameters of near-field sources and the DOAs of far-field sources are captured. The proposed algorithm does not require any spectral search which leads to low computational complexity. Moreover, this algorithm avoids parameter matching procedure. Numerical experiments are conducted to verify the effectiveness of the proposed algorithm.

源语言英语
主期刊名30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017
出版商Institute of Navigation
479-489
页数11
ISBN(电子版)9781510853317
DOI
出版状态已出版 - 2017
活动30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017 - Portland, 美国
期限: 25 9月 201729 9月 2017

出版系列

姓名30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017
1

会议

会议30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017
国家/地区美国
Portland
时期25/09/1729/09/17

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