Blind Calibration of Sparse Arrays for DOA Estimation with Analog and One-bit Measurements
K. Ramamohan (TU Delft - Signal Processing Systems, Microflown Technologies, BV Arnhem)
S.P. Chepuri (Indian Institute of Science)
Daniel Fernandez Comesana (Microflown Technologies, BV Arnhem)
G Leus (TU Delft - Signal Processing Systems)
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Abstract
In this paper, the focus is on the gain and phase calibration of sparse sensor arrays to localize more sources than the number of physical sensors. The proposed technique is a blind calibration method as it does not require any calibrator sources. Joint estimation of the gain errors, phase errors, and source directions is a complicated non-convex optimization problem, which is transformed into a convex optimization problem by exploiting the underlying algebraic structure. It is shown that the developed solver is suitable for analog as well as one-bit measurements. Numerical experiments based on sparse rulers are provided to illustrate the developed theory.