This package contains the implementation of the blind calibration method of uniform linear arrays presented in [1]. The method is asymptotically optimal for Gaussian sources, but provides enhanced calibration even for non-Gaussian signals, by further exploiting the information contained in the second-order statistics of the measured signals. The method is “almost” linear, in the sense that except for application of simple, elementwise nonlinear operations, the estimates are computed by solving a system of linear equations.
To download the Matlab package, click here.
Related Papers
[1] Weiss, A. and Yeredor, A., “Asymptotically Optimal Blind Calibration of Uniform Linear Sensor Arrays for Narrowband Gaussian Signals”, IEEE Trans. on Signal Processing, vol. 68, pp. 5322–5333, Aug. 2020. arXiv
[2] Weiss, A. and Yeredor, A., “Blind Calibration of Sensor Arrays for Narrowband Signals with Asymptotically Optimal Weighting”, in Proc. of the 27th European Signal Processing Conference (EUSIPCO 2019), pp. 1–5, Sep. 2019.
[3] Weiss, A., Nadler, B. and Yeredor, A., “Asymptotically Optimal Blind Calibration of Acoustic Vector Sensor Uniform Linear Arrays”, in Proc. of IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4677–4681, May 2020.