Estimation and compensation of I/Q linear phase imbalance based on the generalized cross correlation and cross-power spectrum phase method

Meng, Jie; Wang, Houjun; Ye, Peng; Zhao, Yu

doi:10.1109/icemi46757.2019.9101881

Cited by 1 publication

(1 citation statement)

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“…Different phase offset is generally caused by the imperfection of the analog LO, and mismatch introduced by the LO phase offset is frequency-independent [13]. TDD is the result of different delays introduced by the analog components or different path lengths of I and Q branches [14,15]. The influence of TDD is similar to that of the LO phase offset, and the difference is that the mismatch brought by TDD is frequency-dependent, whereas that of the phase offset is constant over the entire signal bandwidth.…”

Section: Introductionmentioning

confidence: 99%

I/Q Linear Phase Imbalance Estimation Technique of the Wideband Zero-IF Receiver

Meng

Wang

et al. 2020

Electronics

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The in-phase/quadrature (I/Q) imbalance encountered in the zero-IF receiver leads to incomplete image frequency suppression, which severely deteriorates image rejection ratio (IRR) of the receiver system and must be improved using additional analog or digital signal processing. The I/Q linear phase imbalance (LPI) is the key of the I/Q imbalance, which consists of the time delay deviation (TDD) and the local oscillator (LO) phase offset. TDD is negligible in most literature, but it degrades system performance largely for wideband communication systems. This paper proposes a method based on the cross-power spectrum between the I/Q signal to address the estimation problem of LPI. Compared with other conventional methods, the proposed approach calculates LPI parameters simultaneously without any additional hardware. The MATLAB simulation is utilized to evaluate the effectiveness of the presented method. Moreover, the experimental platform of detailed design demonstrates the feasibility of the proposed estimation method, and IRR of the system before and after compensation shows that LPI has been accurately estimated and eliminated with the help of an appropriate compensation structure. Both reveal that the proposed method offers an effective solution to the LPI problem.

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Section: Introductionmentioning

confidence: 99%