Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

Research Article

Calibration Method of Gain-Phase Errors in Super-resolution Direction Finding for Wideband Signals

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  • @INPROCEEDINGS{10.1007/978-3-319-52730-7_31,
        author={Jiaqi Zhen and Danyang Qin and Jie Yang and Yanchao Li},
        title={Calibration Method of Gain-Phase Errors in Super-resolution Direction Finding for Wideband Signals},
        proceedings={Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers},
        proceedings_a={MLICOM},
        year={2017},
        month={2},
        keywords={Super-resolution direction finding Array calibration Gain-phase errors Wideband signals},
        doi={10.1007/978-3-319-52730-7_31}
    }
    
  • Jiaqi Zhen
    Danyang Qin
    Jie Yang
    Yanchao Li
    Year: 2017
    Calibration Method of Gain-Phase Errors in Super-resolution Direction Finding for Wideband Signals
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-52730-7_31
Jiaqi Zhen1,*, Danyang Qin1, Jie Yang1, Yanchao Li1
  • 1: Heilongjiang University
*Contact email: zhenjiaqi2011@163.com

Abstract

Most super-resolution direction finding methods need to know the array manifold exactly, but there is usually gain and phase errors in the array, which directly lead to the discordance of the channels. The paper proposed a novel calibration method in super-resolution direction finding for wideband signals based on spatial domain sparse optimization when gain and phase errors exist. First, the optimization functions are founded by the signals of every frequency, then the functions are optimized iteratively, consequently the information of all frequencies is integrated for the calibration, thus, the actual directions of arrival (DOA) can be estimated. Simulations have proved the method is appropriate for low signal to noise ratio (SNR) and small samples.