Joint Tracking of Polarization State and Phase Noise Using Adaptive Cascaded Kalman Filtering

Pakala L, Schmauß B (2017)

Publication Language: English

Publication Type: Journal article, Review article

Publication year: 2017

Journal

IEEE Photonics Technology Letters Institute of Electrical and Electronics Engineers (IEEE)

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 29

Pages Range: 1297-1300

Journal Issue: 16

DOI: 10.1109/lpt.2017.2719279

Abstract

We propose a cascaded Kalman filtering (CKF) technique, a series of extended Kalman filter (EKF), and a linear Kalman filter, for joint tracking of phase and amplitude noise as well as polarization state. We further propose an adaptive CKF (A-CKF), in which the process noise covariance has been estimated adaptively, using covariance matching method. Numerical results on back-to-back and transmission scenarios on 28-Gbd polarization-multiplexed 16-quadrature amplitude modulation system justify that our proposed CKF as well as A-CKF outperforms the earlier proposed EKF and the unscented Kalman filter (UKF) with an improved tolerance toward polarization rotations and phase noise besides less computational effort.

Authors with CRIS profile

Lalitha Pakala Professur für Hochfrequenztechnik mit dem Schwerpunkt Optische Hochfrequenztechnik und Photonik Bernhard Schmauß Professur für Hochfrequenztechnik mit dem Schwerpunkt Optische Hochfrequenztechnik und Photonik

How to cite

APA:

Pakala, L., & Schmauß, B. (2017). Joint Tracking of Polarization State and Phase Noise Using Adaptive Cascaded Kalman Filtering. IEEE Photonics Technology Letters, 29(16), 1297-1300. https://doi.org/10.1109/lpt.2017.2719279

MLA:

Pakala, Lalitha, and Bernhard Schmauß. "Joint Tracking of Polarization State and Phase Noise Using Adaptive Cascaded Kalman Filtering." IEEE Photonics Technology Letters 29.16 (2017): 1297-1300.

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