TY - GEN
T1 - Transmitter IQ Mismatch Estimation by Number-Theoretic Net-Based Gaussian Particle Filter for Coherent Optical Communications
AU - Liu, Shuai
AU - Xu, Yangfan
AU - Du, Xinwei
AU - Wang, Qian
AU - Yu, Changyuan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/11
Y1 - 2023/11
N2 - In this paper, we propose a novel approach for estimating in-phase/quadrature-phase (IQ) mismatch at the transmitter using a number-theoretic net (NT-net)-based Gaussian particle filter (NT-GPF). The proposed method generates particles on an ellipse of the given bivariate Gaussian distribution, which helps locate the correct region of the actual state parameters more efficiently. Simulation results demonstrate that the NT-GPF-based approach offers higher estimation accuracy, with the mean squared error (MSE) consistently lower than that of traditional GPF across different particle numbers. Moreover, the proposed NT-GPF-based algorithm significantly improves estimation efficiency and noise tolerance, requiring only 21 particles under low signal-to-noise ratio (SNR).
AB - In this paper, we propose a novel approach for estimating in-phase/quadrature-phase (IQ) mismatch at the transmitter using a number-theoretic net (NT-net)-based Gaussian particle filter (NT-GPF). The proposed method generates particles on an ellipse of the given bivariate Gaussian distribution, which helps locate the correct region of the actual state parameters more efficiently. Simulation results demonstrate that the NT-GPF-based approach offers higher estimation accuracy, with the mean squared error (MSE) consistently lower than that of traditional GPF across different particle numbers. Moreover, the proposed NT-GPF-based algorithm significantly improves estimation efficiency and noise tolerance, requiring only 21 particles under low signal-to-noise ratio (SNR).
KW - Gaussian particle filter
KW - IQ mismatch
KW - number-theoretic net
UR - http://www.scopus.com/inward/record.url?scp=85183295556&partnerID=8YFLogxK
U2 - 10.1109/ACP/POEM59049.2023.10369460
DO - 10.1109/ACP/POEM59049.2023.10369460
M3 - Conference article published in proceeding or book
AN - SCOPUS:85183295556
T3 - 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023
BT - 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023
Y2 - 4 November 2023 through 7 November 2023
ER -