IQ-imbalance and its compensation for non-ideal analog receivers comprising frequency-selective components

Mailand, M.; Richter, R.; Jentschel, H.-J.

doi:10.5194/ars-4-189-2006

Cited by 18 publications

(15 citation statements)

References 6 publications

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“…Two types of IQ-imbalance models are usually considered in IQ-imbalance compensation algorithmic design and performance analysis, i.e., frequency-independent and frequency-selective models [9]. Frequency-independent models only consider quasi-linear impairments of the input signal, while frequency-selective model capture the behaviour of the analog components more accurately.…”

Section: Iq-imbalancementioning

confidence: 99%

Hardware-Constrained Millimeter-Wave Systems for 5G: Challenges, Opportunities, and Solutions

Yang¹,

Matthaiou

Yang³

et al. 2019

IEEE Commun. Mag.

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Although millimeter wave (mmWave) systems promise to offer larger bandwidth and unprecedented peak data rates, their practical implementation faces several hardware challenges compared to sub-6 GHz communication systems. These hardware constraints can seriously undermine the performance and deployment progress of mmWave systems and, thus, necessitate disruptive solutions in the cross-design of analog and digital modules. In this article, we discuss the importance of different hardware constraints and propose a novel system architecture, which is able to release these hardware constraints while achieving better performance for future millimeter wave communication systems. The characteristics of the proposed architecture are articulated in detail, and a representative example is provided to demonstrate its validity and efficacy.

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Section: Iq-imbalancementioning

confidence: 99%

Hardware-Constrained Millimeter-Wave Systems for 5G: Challenges, Opportunities, and Solutions

Yang¹,

Matthaiou

Yang³

et al. 2019

IEEE Commun. Mag.

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show abstract

“…The orthogonality between the I/Q paths is easily compromised by the amplitude and phase errors in the complex carrier generated by a quadrature oscillator. It was shown in [ [5]] that the I/Q imbalance (in the case of a direct conversion receiver) will cause the superposition of the desired signals conjugate over the desired signal:…”

Section: Defined Classesmentioning

confidence: 99%

Matlab Toolbox for RF Receiver Modeling

Kirei

Ţopa

2013

AEF

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In this paper a novel RF receiver modeling approach is presented. The novelty consists in the usage of the object oriented programming instead of the usual imperative programming. Classes were defined for entities as signal, non-ideality and RF/analog block, in order to achieve a basic RF receiver model. The main circuit non-idealities were identified, non-ideality parameters and their analytical models were encapsulated into classes. The effectiveness of the proposed modeling approach was demonstrated by developing in MATLAB a fairly complete model of a direct conversion receiver.

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“…1 [8]. In this way, the signal applied to the digital baseband, denoted r FD for the FD case, becomes…”

Section: Case Of Fd I/q Mismatchmentioning

confidence: 99%

Blind Frequency-Selective I/Q Mismatch Compensation Using Subband Processing

Kirei

Ţopa

2012

IEEE Trans. Circuits Syst. II

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This brief proposes a new approach to frequencyselective in-phase (I)/quadrature (Q) mismatch compensation, based on subband processing: The spectrum of the signal received by the digital baseband processor-a combination of wanted and image signals-is split into subbands so that, within each subband, the I/Q mismatch can be considered constant with respect to frequency. Therefore, standard compensation algorithms, devised for frequency-invariant I/Q mismatch, can be applied to compensate the signal within each subband; finally, the outputs of each subband processing path are recombined to yield the wanted signal. This procedure is demonstrated by a case study that describes an I/Q mismatch compensation algorithm particularly well suited for the proposed method and proves that, at least for certain I/Q imbalances, the efficiency of compensation can be significantly improved even if only a small number of subbands are employed. The resulting frequency-selective I/Q mismatch compensation solution is suitable for wideband multistandard receivers.Index Terms-Frequency-selective in-phase (I)/quadrature (Q) mismatch compensation, subband signal processing.

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IQ-imbalance and its compensation for non-ideal analog receivers comprising frequency-selective components

Cited by 18 publications

References 6 publications

Hardware-Constrained Millimeter-Wave Systems for 5G: Challenges, Opportunities, and Solutions

Hardware-Constrained Millimeter-Wave Systems for 5G: Challenges, Opportunities, and Solutions

Matlab Toolbox for RF Receiver Modeling

Blind Frequency-Selective I/Q Mismatch Compensation Using Subband Processing

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