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

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

Nambur Ramamohan, K. (TU Delft Signal Processing Systems; Microflown Technologies, BV Arnhem)
Chepuri, S.P. (Indian Institute of Science)
Comesana, Daniel Fernandez (Microflown Technologies, BV Arnhem)
Leus, G.J.T. (TU Delft Signal Processing Systems)

2019-05-01

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.

http://resolver.tudelft.nl/uuid:3ebb25e4-9a2a-4bd8-a6a7-22d48d5f23be

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

IEEE, Piscataway

2019-10-16

978-1-4799-8132-8

2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019: Proceedings

44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, 2019-05-12 → 2019-05-17, Brighton, United Kingdom

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2019 K. Nambur Ramamohan, S.P. Chepuri, Daniel Fernandez Comesana, G.J.T. Leus