Blind Calibration of Sparse Arrays for DOA Estimation with Analog and One-bit Measurements
Krishnaprasad Nambur Ramamohan, Sundeep Prabhakar Chepuri, Daniel Fernández Comesaña, Geert Leus
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.
BibTeX
@inproceedings{icassp2019_blindcalibration,
title = {Blind Calibration of Sparse Arrays for DOA Estimation with Analog and One-bit Measurements},
author = {Krishnaprasad Nambur Ramamohan and Sundeep Prabhakar Chepuri and Daniel Fernández Comesaña and Geert Leus},
booktitle = {ICASSP 2019},
year = {2019}
}