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Blind Calibration of Sparse Arrays for DOA Estimation with Analog and One-bit Measurements

Ramamohan, KN and Prabhakar Chepuri, S and Comesana, DF and Leus, G (2019) Blind Calibration of Sparse Arrays for DOA Estimation with Analog and One-bit Measurements. In: 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, 12 - 17 May 2019, Brighton, pp. 4185-4189.

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Official URL: https://doi.org/10.1109/ICASSP.2019.8682592

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.

Item Type: Conference Paper
Publication: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to the Authors.
Keywords: Blind equalization; Calibration; Convex optimization; Direction of arrival; Speech communication, Algebraic structures; Calibration method; Convex optimization problems; Joint estimation; Nonconvex optimization; Numerical experiments; Phase calibration; Source directions, Audio signal processing
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 25 Oct 2022 09:45
Last Modified: 25 Oct 2022 09:45
URI: https://eprints.iisc.ac.in/id/eprint/77535

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