Performance analysis of two-sided IQ imbalance effects in OFDM systems

Liu, Chia-Horng

doi:10.1109/pimrc.2009.5450345

Cited by 4 publications

(5 citation statements)

References 9 publications

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“…IQ imbalance is the amplitude and phase mismatch of the oscillator signals used for mixing the in-phase and quadrature components of the input signal [24,62,63]. These arise due to limitations in the accuracy of the hardware used in the generation of these signals.…”

Section: Iq Imbalancementioning

confidence: 99%

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Performance Analysis of OFDM with Wiener Phase Noise and Frequency Selective Fading Channel

Mathecken

Riihonen

Werner

et al. 2011

IEEE Trans. Commun.

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Instructor:Taneli Riihonen, M.Sc. (Tech.) This thesis studies the effect of Wiener phase noise on the performance of orthogonal frequency division multiplexing (OFDM) systems. The main performance metrics used in the analysis are capacity and signal-to-interference-plus-noise ratio (SINR).OFDM is a multi-carrier modulation technique in which data is transmitted in parallel streams using closely spaced (in frequency) orthogonal carriers. Phase noise is the random fluctuation in the phase of the oscillator signal used in the frequency translation between baseband and radio frequency. These fluctuations occur because of the inherent imperfections in the components that make up the oscillator. With respect to OFDM, phase noise destroys the orthogonality between the carriers and this causes interference between the parallel streams of data which results in degradation of the capacity and SINR. We derive closed-form analytical expressions of average capacity and average SINR and highlight the key parameters of the phase noise process and OFDM system that affect its behavior. In comparison with previous works, a probability density function (PDF) based approach is used in arriving at these performance metrics. This approach necessitates the derivation of the PDF of a sum of gamma random variables. In earlier literature, this result is available for gamma variables that have a full-rank square-root normalized covariance matrix. We generalize the result for the rank-deficient case and apply this result to obtain the statistical expressions of capacity and SINR.

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Section: Iq Imbalancementioning

confidence: 99%

“…Such a transformation P is defined in (4.16a). Thus, expressing x = P + y = P T y and inserting this into (4.22) gives 24) where the last step is obtained as used in [23] and λ n are the R eigenvalues of the matrix PBP T ∆. Using the Moschopoulos technique [34] of inverting the MGF of Y , we obtain the PDF in (4.13).…”

Section: Pdf Of Sum Of Gamma Variablesmentioning

confidence: 99%

Performance Analysis of OFDM with Wiener Phase Noise and Frequency Selective Fading Channel

Mathecken

Riihonen

Werner

et al. 2011

IEEE Trans. Commun.

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“…Under the assumption of Weibull fading channels and IQI at the receiver only, the average symbol error rate (SER) of M -ary quadrature amplitude modulation (M −QAM) was derived in [13]. Similarly, for M -QAM modulation and Rayleigh fading channels, the error performance of multicarrier systems and OFDM systems was investigated in [14][15][16] and [17], respectively. For the case of N *Nakagami-m fading, the authors in [18] quantified the effects of IQI on the outage probability of both single-carrier and multi-carrier systems.…”

Section: A Related Workmentioning

confidence: 99%

Performance Analysis of Coherent and Noncoherent Modulation Under I/Q Imbalance Effects

et al. 2021

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In this paper, we investigate the effects of in-phase/quadrature-phase imbalance (IQI) on the performance of different modulation schemes under multipath fading channels. In particular, a comprehensive framework for the analysis of coherent and noncoherent modulation with IQI is proposed. Specifically, new moment generating function (MGF) expressions for both point-to-point and multiple antenna systems are derived for the cases of transmitter IQI, receiver IQI, and joint transmitter/receiver IQI. Based on the derived MGFs, new analytical expressions for the corresponding symbol error rate (SER) are derived and are subsequently used to provide deep insights into the effects of IQI on the system performance. It is shown that, while in some cases the SER performance degradation due to IQI is marginal, in other cases, this impairment is more pronounced. Accordingly, IQI compensation is of paramount importance as it can guarantee a reliable communication link. This is particularly important in demanding communication technologies where reduction of latency and complexity are essential. INDEX TERMS I/Q imbalance, coherent detection, noncoherent detection, RF impairments, symbol error rate.

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“…The effects of the PN, IQ imbalance and the HPA nonlinearity have been intensively studied separately in the literatures [3][4][5][6][7][8][9]. In [3], the detailed effects of PN on the performance of the OFDM system have been studied.…”

Section: Introductionmentioning

confidence: 99%

“…A theoretical formulation for PN is presented in [4]. In [5,6], the combined impacts of IQ imbalance from both the transmitter and the receiver in an OFDM system is analyzed. In [7], a theoretical characterization of nonlinear distortion effect introduced by HPA nonlinearity is presented for OFDM systems.…”

Section: Introductionmentioning

confidence: 99%

Analysis of joint effect of phase noise, IQ imbalance and amplifier nonlinearity in OFDM system

Zhao

Zhu

Wang³

et al. 2013

2013 International Conference on Wireless Communications and Signal Processing

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The Orthogonal Frequency Division Multiplexing (OFDM) based system is highly sensitive to Radio Frequency (RF) impairments including phase noise and IQ imbalance at the receiver and High Power Amplifier (HPA) nonlinearity at the transmitter. In this paper, the theoretical characterization of the joint effects of these RF impairments on the performance of the OFDM system with QPSK and 16QAM modulations are presented. The theoretical models for the three RF impairments are derived individually and jointly. Furthermore, the Bit Error Rate (BER) as a function of the RF impairments parameters is formulated for the OFDM system over AWGN channels. The results indicate that phase noise, IQ imbalance and HPA nonlinearity strengthen each other when they are jointly evaluated. The average BER performance is inversely proportional to the RF impairments, and there exists a BER error floor when RF impairments are high. The close matching of the work presented in this paper with previous works confirm the validity of the proposed theoretical approach.

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Performance analysis of two-sided IQ imbalance effects in OFDM systems

Cited by 4 publications

References 9 publications

Performance Analysis of OFDM with Wiener Phase Noise and Frequency Selective Fading Channel

Performance Analysis of OFDM with Wiener Phase Noise and Frequency Selective Fading Channel

Performance Analysis of Coherent and Noncoherent Modulation Under I/Q Imbalance Effects

Analysis of joint effect of phase noise, IQ imbalance and amplifier nonlinearity in OFDM system

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