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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2019-06-26
Localization for Mixed Near-Field and Far-Field Sources by Interlaced Nested Array
By
Sheng Liu,

    Dr. Sheng Liu

    School of Data Science

    Tongren University

    China

    Homepage

Jing Zhao,

    Dr. Jing Zhao

    School of Data Science

    Tongren University

    China

    Homepage

Ziqing Yuan,

    Dr. Ziqing Yuan

    School of Data Science

    Tongren University

    China

    Homepage

Ren Zhou,

    Dr. Ren Zhou

    School of Data Science

    Tongren University

    China

    Homepage

Min Xiao,

    Dr. Min Xiao

    School of Data Science

    Tongren University

    China

    Homepage

Chunyan Lu

    Dr. Chunyan Lu

    School of Data Science

    Tongren University

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 82, 107-115, 2019
doi:10.2528/PIERM19042501 | Google Scholar

Abstract
In this paper, a localization algorithm for mixed near-field and far-field sources by an interlaced nested array is proposed. The fourth-order cumulants (FOCs) of the received data are used to construct a FOC matrix, by which the angles of all signals can be estimated. Then, an effective method is driven to separate the directions of arrival (DOAs) of near-field and far-field sources without extreme value search. The ranges of the near-field sources can be estimated by one-dimensional (1D) search. Compared with existing nested array-based algorithms, the proposed algorithm can distinguish more sources and has higher estimation accuracy. Some simulation results are shown to certify the superiority of proposed algorithm.
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Citation
Sheng Liu, Jing Zhao, Ziqing Yuan, Ren Zhou, Min Xiao, and Chunyan Lu, "Localization for Mixed Near-Field and Far-Field Sources by Interlaced Nested Array," Progress In Electromagnetics Research M, Vol. 82, 107-115, 2019.
doi:10.2528/PIERM19042501
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