Gain-Phase Error Calculation in DOA Estimation for Mixed Wideband Signals

Jiaqi Zhen; Yong Liu; Yanchao Li

Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

Research Article

Gain-Phase Error Calculation in DOA Estimation for Mixed Wideband Signals

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@INPROCEEDINGS{10.1007/978-3-319-73564-1_60,
    author={Jiaqi Zhen and Yong Liu and Yanchao Li},
    title={Gain-Phase Error Calculation in DOA Estimation for Mixed Wideband Signals},
    proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I},
    proceedings_a={MLICOM},
    year={2018},
    month={2},
    keywords={DOA estimation Gain-phase error Far-field signals Near-field signals Wideband signals},
    doi={10.1007/978-3-319-73564-1_60}
}

Jiaqi Zhen
Yong Liu
Yanchao Li
Year: 2018
Gain-Phase Error Calculation in DOA Estimation for Mixed Wideband Signals
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_60

Jiaqi Zhen¹^,*, Yong Liu¹, Yanchao Li¹

1: Heilongjiang University

*Contact email: zhenjiaqi2011@163.com

Abstract

Gain-phase error is inevitable in direction of arrival (DOA) estimation, it will lead to the mismatch between actual and ideal array manifold. Therefore, a novel gain-phase error calculation approach in DOA estimation for mixed wideband signals is provided in this paper. First, the signals are transformed on the focusing frequency. Then peak searching is employed for determining the far-field sources. Finally, gain-phase error can be calculated according to the orthogonality of far-field signal subspace and noise subspace, simulation results manifest the effectiveness of the proposed approach.

Keywords: DOA estimation Gain-phase error Far-field signals Near-field signals Wideband signals

Published: 2018-02-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-73564-1_60