Low-Complexity Monitoring and Compensation of Transceiver IQ Imbalance by Multi-dimensional Architecture for Dual-Polarization 16 Quadrature Amplitude Modulation
Yukun Zhang, Xiaoxue Gong, Xu Zhang, Lei Guo

TL;DR
This paper introduces a low-complexity multi-dimensional architecture for IQ imbalance compensation in dual-polarization 16QAM systems, improving accuracy and reducing computational complexity through innovative estimation and equalization techniques.
Contribution
It proposes a novel multi-dimensional architecture combining IQ skew estimation and a low-complexity MIMO equalizer for effective IQ imbalance compensation.
Findings
Estimation error less than 0.9/0.25 ps for TX/RX IQ skew.
Tolerates 0.1 TX IQ amplitude imbalance and 5° phase imbalance with minimal Q-factor penalty.
Reduces real multiplications by 55% compared to conventional methods.
Abstract
In this paper, a low-complexity multi-dimensional architecture for IQ imbalance compensation is proposed, which reduces the effects of in-phase (I) and quadrature (Q) imbalance. The architecture use a transceiver IQ skew estimation structure to compensate for IQ skew, and then use a low-complexity MIMO equalizer to compensate for IQ amplitude/phase imbalance. In the transceiver IQ skew estimation structure, the receiver(RX) IQ skew is estimated by Gardner's phase detector, and the transmitter TX skew is estimated by finding the value that yields the lowest equalizer error. The low-complexity MIMO equalizer consists of a complex-valued MIMO (CV-MIMO) and a two-layer multimodulus algorithm real-valued MIMO (TMMA-RV-MIMO), which employ a butterfly and a non-butterfly structure, respectively. The CV-MIMO is used to perform polarization demultiplexing and the TMMA-RV-MIMO equalizes each of…
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Taxonomy
TopicsAdvanced Wireless Communication Techniques · Advanced Power Amplifier Design · PAPR reduction in OFDM
