Joint Estimation of Near-Field Source Parameters and Array Response


Han Cui, Wenjuan Peng, Journal of Information Processing Systems Vol. 13, No. 1, pp. 83-94, Feb. 2017

10.3745/JIPS.03.0060
Keywords: Array Calibration, Gain/Phase Response, Near-Field Source Localization
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Abstract

Near-field source localization algorithms are very sensitive to sensor gain/phase response errors, and so it is important to calibrate the errors. We took into consideration the uniform linear array and are proposing a blind calibration algorithm that can estimate the directions-of-arrival and range parameters of incident signals and sensor gain/phase responses jointly, without the need for any reference source. They are estimated separately by using an iterative approach, but without the need for good initial guesses. The ambiguities in the estimations of 2-D electric angles and sensor gain/phase responses are also analyzed in this paper. We show that the ambiguities can be remedied by assuming that two sensor phase responses of the array have been previously calibrated. The behavior of the proposed method is illustrated through simulation experiments. The simulation results show that the convergent rate is fast and that the convergent precision is high


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Cite this article
[APA Style]
Han Cui and Wenjuan Peng (2017). Joint Estimation of Near-Field Source Parameters and Array Response. Journal of Information Processing Systems, 13(1), 83-94. DOI: 10.3745/JIPS.03.0060.

[IEEE Style]
H. Cui and W. Peng, "Joint Estimation of Near-Field Source Parameters and Array Response," Journal of Information Processing Systems, vol. 13, no. 1, pp. 83-94, 2017. DOI: 10.3745/JIPS.03.0060.

[ACM Style]
Han Cui and Wenjuan Peng. 2017. Joint Estimation of Near-Field Source Parameters and Array Response. Journal of Information Processing Systems, 13, 1, (2017), 83-94. DOI: 10.3745/JIPS.03.0060.