Blind Compensation of I/Q Impairments in Wireless Transceivers

The majority of techniques that deal with the mitigation of in-phase and quadrature-phase (I/Q) imbalance at the transmitter (pre-compensation) require long training sequences, reducing the throughput of the system. These techniques also require a feedback path, which adds more complexity and cost t...

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Main Authors: Mohsin Aziz, Fadhel M. Ghannouchi, Mohamed Helaoui
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/17/12/2948
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spelling doaj-788ba8eb4d2847bba5fd2ded24bb0f2c2020-11-24T20:59:56ZengMDPI AGSensors1424-82202017-12-011712294810.3390/s17122948s17122948Blind Compensation of I/Q Impairments in Wireless TransceiversMohsin Aziz0Fadhel M. Ghannouchi1Mohamed Helaoui2iRadio Lab, Department of Electrical and Computer Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, CanadaiRadio Lab, Department of Electrical and Computer Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, CanadaiRadio Lab, Department of Electrical and Computer Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, CanadaThe majority of techniques that deal with the mitigation of in-phase and quadrature-phase (I/Q) imbalance at the transmitter (pre-compensation) require long training sequences, reducing the throughput of the system. These techniques also require a feedback path, which adds more complexity and cost to the transmitter architecture. Blind estimation techniques are attractive for avoiding the use of long training sequences. In this paper, we propose a blind frequency-independent I/Q imbalance compensation method based on the maximum likelihood (ML) estimation of the imbalance parameters of a transceiver. A closed-form joint probability density function (PDF) for the imbalanced I and Q signals is derived and validated. ML estimation is then used to estimate the imbalance parameters using the derived joint PDF of the output I and Q signals. Various figures of merit have been used to evaluate the efficacy of the proposed approach using extensive computer simulations and measurements. Additionally, the bit error rate curves show the effectiveness of the proposed method in the presence of the wireless channel and Additive White Gaussian Noise. Real-world experimental results show an image rejection of greater than 30 dB as compared to the uncompensated system. This method has also been found to be robust in the presence of practical system impairments, such as time and phase delay mismatches.https://www.mdpi.com/1424-8220/17/12/2948cumulative distribution functiondemodulatordirect conversion transceiversI/Q imbalancemodulator
collection DOAJ
language English
format Article
sources DOAJ
author Mohsin Aziz
Fadhel M. Ghannouchi
Mohamed Helaoui
spellingShingle Mohsin Aziz
Fadhel M. Ghannouchi
Mohamed Helaoui
Blind Compensation of I/Q Impairments in Wireless Transceivers
Sensors
cumulative distribution function
demodulator
direct conversion transceivers
I/Q imbalance
modulator
author_facet Mohsin Aziz
Fadhel M. Ghannouchi
Mohamed Helaoui
author_sort Mohsin Aziz
title Blind Compensation of I/Q Impairments in Wireless Transceivers
title_short Blind Compensation of I/Q Impairments in Wireless Transceivers
title_full Blind Compensation of I/Q Impairments in Wireless Transceivers
title_fullStr Blind Compensation of I/Q Impairments in Wireless Transceivers
title_full_unstemmed Blind Compensation of I/Q Impairments in Wireless Transceivers
title_sort blind compensation of i/q impairments in wireless transceivers
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2017-12-01
description The majority of techniques that deal with the mitigation of in-phase and quadrature-phase (I/Q) imbalance at the transmitter (pre-compensation) require long training sequences, reducing the throughput of the system. These techniques also require a feedback path, which adds more complexity and cost to the transmitter architecture. Blind estimation techniques are attractive for avoiding the use of long training sequences. In this paper, we propose a blind frequency-independent I/Q imbalance compensation method based on the maximum likelihood (ML) estimation of the imbalance parameters of a transceiver. A closed-form joint probability density function (PDF) for the imbalanced I and Q signals is derived and validated. ML estimation is then used to estimate the imbalance parameters using the derived joint PDF of the output I and Q signals. Various figures of merit have been used to evaluate the efficacy of the proposed approach using extensive computer simulations and measurements. Additionally, the bit error rate curves show the effectiveness of the proposed method in the presence of the wireless channel and Additive White Gaussian Noise. Real-world experimental results show an image rejection of greater than 30 dB as compared to the uncompensated system. This method has also been found to be robust in the presence of practical system impairments, such as time and phase delay mismatches.
topic cumulative distribution function
demodulator
direct conversion transceivers
I/Q imbalance
modulator
url https://www.mdpi.com/1424-8220/17/12/2948
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