Relevant bibliographies by topics / IQ imbalance

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'IQ imbalance'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "IQ imbalance"

1

Thavalapill, Smith S. "IQ Imbalance in Communication Systems." IETE Journal of Education 50, no. 2 (May 2009): 59–64. http://dx.doi.org/10.1080/09747338.2009.10876054.

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Gridin, I. Yu. "DESIGN OF FREQUENCY INDEPENDENT DIGITAL IQ IMBALANCE COMPENSATOR FOR RECEIVERS." Issues of radio electronics, no. 8 (August 20, 2018): 40–48. http://dx.doi.org/10.21778/2218-5453-2018-8-40-48.

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Derivation of IQ imbalance in IQ receivers because of non-idealities of analog front-end has a significant negative effect on received signal quality and serious RF system performance degradation. Thereat the RF designers have an objective to create and improve compact and stand-alone methods of IQ imbalance compensation which provide best possible Image Rejection Ratio (IRR). The DSP-based methods of compensation are the most perspective. In this paper described one of version of autonomous and adaptive frequency independent IQ imbalance compensation algorithm which can be implemented as an IP that which can be used in different SoC for RF applications. The calculation method is based on digital signal statistic estimation with real-time convergence of compensation coefficients to the goal values which provide best image rejection. The results of algorithm’s processing for different input values with different IQ imbalance values are presented with max and min image rejection ratio estimation.
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Lee, Young-Bok, Tae-Woong Kang, and Hyon-Ik Lee. "A Study on Transmission Signal Design Using DAC to Reduce IQ Imbalance of Satellite-Mounted Synthetic Aperture Radar Transmitter." Journal of the Korea Institute of Military Science and Technology 25, no. 2 (April 5, 2022): 144–50. http://dx.doi.org/10.9766/kimst.2022.25.2.144.

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The on-board processor of satellite synthetic aperture radar(SAR) generates transmission signal by digital signal processing, converts it into an analog signal. At this time, the transmission signal generated from the baseband requires the frequency modulation to convert it to the high-frequency band in order to improve the stability. General frequency modulation method using local oscillator(LO) causes IQ imbalance due to phase error/magnitude error and these error reduce performance of SAR. To generate transmission signal without phase/magnitude error, this paper suggests design method of the frequency modulation method using digital to analog converter(DAC) at on-board SAR. For design, this paper analyzes the characteristic of DAC mode and uses pre-compensation filter. To analyze the proposed method performance, performance index are compared with IQ imbalance signals. This method is suitable for on-board SAR using fast sampling DAC and has the advantage of being able to solve IQ imbalances.
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Luo, Junyi, and Tao Liu. "Research on IQ Imbalance Error of Orthogonal Alternating Sampling." Discrete Dynamics in Nature and Society 2022 (March 4, 2022): 1–8. http://dx.doi.org/10.1155/2022/4812018.

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In the signal acquisition of complete orthogonal frequency alternating acquisition system, we need to transform the broadband input signal to baseband through analogue orthogonal demodulation. Thus, the IQ imbalance errors will inevitably exist, including amplitude imbalance error and phase imbalance error, resulting in distortion deterioration of reconstruction signals. This paper makes an in-depth study on such IQ imbalance errors and mathematically deduces the mathematical expressions of imbalance errors and the spurious frequency distribution caused by them, which shows that the positions where the spurious signals appear are closely related to the frequency of input signal and the tuning frequency of analogue quadrature demodulation. Meanwhile, the amplitude and phase imbalance parameters of the channels I and Q are also calculated. Finally, the spurious effects caused by imbalance errors are verified by simulation experiment, and the verification results are consistent with the theoretical derivation results.
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Kim, Jiho, Yunho Jung, Byungjik Son, and Jaeseok Kim. "IQ imbalance compensation for OFDM based wireless LANs." IEICE Electronics Express 4, no. 16 (2007): 524–30. http://dx.doi.org/10.1587/elex.4.524.

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Gouissem, A., R. Hamila, and M. O. Hasna. "Outage Performance of Cooperative Systems Under IQ Imbalance." IEEE Transactions on Communications 62, no. 5 (May 2014): 1480–89. http://dx.doi.org/10.1109/tcomm.2014.033014.130593.

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Kim, Sang-Kyun, Heung-Gyoon Ryu, Byung-Su Kang, and Kwang-Chun Lee. "Performance Analysis of OFDM Communication System with the IQ Imbalance and Phase Noise." Journal of Korean Institute of Electromagnetic Engineering and Science 18, no. 7 (July 31, 2007): 757–65. http://dx.doi.org/10.5515/kjkiees.2007.18.7.757.

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Yang, Hyun, Kwang-Soo Jeong, Jae-Hoon Yi, Taewon Hwang, and Young-Hwan You. "Cost-efficient IQ imbalance compensation scheme for DRM plus." IEICE Electronics Express 6, no. 11 (2009): 743–49. http://dx.doi.org/10.1587/elex.6.743.

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Saeed, H. Faizan, and Adnan Zafar. "Widely linear equalization for IQ imbalance contaminated multicarrier systems." Physical Communication 50 (February 2022): 101511. http://dx.doi.org/10.1016/j.phycom.2021.101511.

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Kolomvakis, Nikolaos, Michail Matthaiou, and Mikael Coldrey. "IQ Imbalance in Multiuser Systems: Channel Estimation and Compensation." IEEE Transactions on Communications 64, no. 7 (July 2016): 3039–51. http://dx.doi.org/10.1109/tcomm.2016.2558186.

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Dissertations / Theses on the topic "IQ imbalance"

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Inti, Durga Laxmi Narayana Swamy. "Time-Varying Frequency Selective IQ Imbalance Estimation and Compensation." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78202.

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Direct-Down Conversion (DDC) principle based transceiver architectures are of interest to meet the diverse needs of present and future wireless systems. DDC transceivers have a simple structure with fewer analog components and offer low-cost, flexible and multi-standard solutions. However, DDC transceivers have certain circuit impairments affecting their performance in wide-band, high data rate and multi-user systems. IQ imbalance is one of the problems of DDC transceivers that limits their image rejection capabilities. Compensation techniques for frequency independent IQI arising due to gain and phase mismatches of the mixers in the I/Q paths of the transceiver have been widely discussed in the literature. However for wideband multi-channel transceivers, it is becoming increasingly important to address frequency dependent IQI arising due to mismatches in the analog I/Q lowpass filters. A hardware-efficient and standard independent digital estimation and compensation technique for frequency dependent IQI is introduced which is also capable of tracking time-varying IQI changes. The technique is blind and adaptive in nature, based on the second order statistical properties of complex random signals such as properness/circularity. A detailed performance analysis of the introduced technique is executed through computer simulations for various real-time operating scenarios. A novel technique for finding the optimal number of taps required for the adaptive IQI compensation filter is proposed and the performance of this technique is validated. In addition, a metric for the measure of properness is developed and used for error power and step size analysis.
Master of Science
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Windisch, Marcus. "Estimation and compensation of IQ imbalance in broadband communications receivers." Dresden Vogt, 2007. http://deposit.d-nb.de/cgi-bin/dokserv?id=3023031&prov=M&dok_var=1&dok_ext=htm.

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Mancuso, Vincent Chistopher. "I/Q imbalance compensation for wideband electronic intelligent receivers." Miami University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=miami1386189393.

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Jnawali, Shashwat. "RF Impairments Estimation and Compensation in Multi-Antenna OFDM Systems." University of Akron / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=akron1316467659.

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Škára, Michal. "Modelování komunikačního řetězce." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217686.

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This Master’s thesis subject is communication link modeling, what means exploring and subsequent connect of blocks QPSK modulator – raised cosine filter – quadrature modulator – nonlinear amplifier – quadrature demodulator – raised cosine filter – QPSK detector. All work proceeded in simulation world VisSim 6.0, manual of this software is opened in this thesis. Individual blocks are analyzed in this scheme including description and configuration. Main theme was exploring error rate of transmission in modulator imbalance, using nonlinear amplifier TWTA or in calculations in fixed and floating point. Theoretically is examined and practically implanted method of modulator imbalance compensation. Circuits with QPSK and 16QAM modulator were analyzed. Circuits are filled in with transparent tables and graphs. In the end of this thesis is applied to generating of source codes in C language by the help of upgrade C-Code, which can be useful in practical realization on DSP.
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Wong, Lauren J. "On the Use of Convolutional Neural Networks for Specific Emitter Identification." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83532.

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Specific Emitter Identification (SEI) is the association of a received signal to an emitter, and is made possible by the unique and unintentional characteristics an emitter imparts onto each transmission, known as its radio frequency (RF) fingerprint. SEI systems are of vital importance to the military for applications such as early warning systems, emitter tracking, and emitter location. More recently, cognitive radio systems have started making use of SEI systems to enforce Dynamic Spectrum Access (DSA) rules. The use of pre-determined and expert defined signal features to characterize the RF fingerprint of emitters of interest limits current state-of-the-art SEI systems in numerous ways. Recent work in RF Machine Learning (RFML) and Convolutional Neural Networks (CNNs) has shown the capability to perform signal processing tasks such as modulation classification, without the need for pre-defined expert features. Given this success, the work presented in this thesis investigates the ability to use CNNs, in place of a traditional expert-defined feature extraction process, to improve upon traditional SEI systems, by developing and analyzing two distinct approaches for performing SEI using CNNs. Neither approach assumes a priori knowledge of the emitters of interest. Further, both approaches use only raw IQ data as input, and are designed to be easily tuned or modified for new operating environments. Results show CNNs can be used to both estimate expert-defined features and to learn emitter-specific features to effectively identify emitters.
Master of Science
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Jawdat, Suzan. "Dynamic nonlinear pre-distortion of signal generators for improved dynamic range." Thesis, University of Gävle, Department of Technology and Built Environment, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-4945.

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In this thesis, a parsimoniously parameterized digital predistorter is derived for linearization of the IQ modulation mismatch and the amplifier imperfection in the signal generator [1]. It is shown that the resulting predistorter is linear in its parameters, and thus they may be estimated by the method of least-squares. Spectrally pure signals are an indispensable requirement when the signal generator is to be used as part of a test bed. Due to the non-linear characteristic of the IQ modulator and power amplifier, distortion will be present at the output of the signal generator. The device under test was the IQ modulation mismatch and power amplifier deficiencies in the signal generator.

In [2], the dynamic range of low-cost signal generators are improved by employing model based digital pre-distortion and the designed predistorter seems to give some improvement of the dynamic range of the signal generator.

The goal of this project is to implement and verify the theory parts [1] using data program (Matlab) to improve the dynamic range of the signal generator. The design digital pre-distortion that is implemented in software so that the dynamic range of the signal generator output after predistortion is superior to that of the output prior to it. In this project, we have observed numerical problems in the proposed theory and we have found other methods to solve the problem.

The polynomial model is commonly used in power amplifier modeling and predistorter design. However, the conventional polynomial model exhibits numerical instabilities when higher order terms are included, we have used the conventional and orthogonal polynomial models. The result shows that the orthogonal polynomial model generally yield better power amplifier modeling accuracy as well as predistortion linearization performance then the conventional polynomial model.

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Mailand, Marko. "Systemanalyse und Entwicklung Six-Port basierter Funkempfängerarchitekturen unter Berücksichtigung analoger Störeffekte." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2008. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1199900991755-90088.

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Due to the increasing demand of broadband capability and reconfigurability for mobile applications, there is an enormous interest to develop appropriate analog receiver front-ends. In this respect, one promising candidate group is the Six-Port-based direct conversion receiver. The presented work focuses on the investigation of Six-Port-based mobile receiver front-ends with their specific systematical signal processing. Thereby, issues of spurious interfering signals which are generated within the down conversion process of such receivers are of special interest. Based on a comprehensive description of the analog signal processing within additive frequency conversion, a reason could be identified why existing Six-Port receivers have not found any practical application in mobile communication yet – the dynamic DC-offset. With this insight compensation techniques were developed to overcome the negative influences of the dynamic DC-offset. Furthermore, this work presents novel Six-Port-based receiver architectures which, on the one hand, keep the advantages of additive mixing systems like: low power consumption, broadband capability and simplicity of implementation especially for mm-wave transmissions. On the other hand, these novel architectures comprise compensation techniques such that systematically generated spurious signals are inherently compensated in the analog part of the receiver. Moreover, the influence of impairments of phase and amplitude within the IQ-branches of a receiver was investigated. The resulting, unwanted IQ-imbalance was shown to be a mixing method (multiplicative or additive) independent spurious effect. It is suggested to compensate for IQ-imbalance in the digital part of the receiver system. This can be realized with the use of adaptive algorithms. The comparison with conventional analog receiver architectures (especially homodyne receivers) with respect to the reception of today’s and future digitally modulated transmission signals indicate the proposed Six-Port-based receiver architectures to be suitable candidates to fulfill the difficult tasks of modern mobile communication.
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Mailand, Marko. "Systemanalyse und Entwicklung Six-Port basierter Funkempfängerarchitekturen unter Berücksichtigung analoger Störeffekte." Doctoral thesis, Technische Universität Dresden, 2007. https://tud.qucosa.de/id/qucosa%3A24036.

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Due to the increasing demand of broadband capability and reconfigurability for mobile applications, there is an enormous interest to develop appropriate analog receiver front-ends. In this respect, one promising candidate group is the Six-Port-based direct conversion receiver. The presented work focuses on the investigation of Six-Port-based mobile receiver front-ends with their specific systematical signal processing. Thereby, issues of spurious interfering signals which are generated within the down conversion process of such receivers are of special interest. Based on a comprehensive description of the analog signal processing within additive frequency conversion, a reason could be identified why existing Six-Port receivers have not found any practical application in mobile communication yet – the dynamic DC-offset. With this insight compensation techniques were developed to overcome the negative influences of the dynamic DC-offset. Furthermore, this work presents novel Six-Port-based receiver architectures which, on the one hand, keep the advantages of additive mixing systems like: low power consumption, broadband capability and simplicity of implementation especially for mm-wave transmissions. On the other hand, these novel architectures comprise compensation techniques such that systematically generated spurious signals are inherently compensated in the analog part of the receiver. Moreover, the influence of impairments of phase and amplitude within the IQ-branches of a receiver was investigated. The resulting, unwanted IQ-imbalance was shown to be a mixing method (multiplicative or additive) independent spurious effect. It is suggested to compensate for IQ-imbalance in the digital part of the receiver system. This can be realized with the use of adaptive algorithms. The comparison with conventional analog receiver architectures (especially homodyne receivers) with respect to the reception of today’s and future digitally modulated transmission signals indicate the proposed Six-Port-based receiver architectures to be suitable candidates to fulfill the difficult tasks of modern mobile communication.
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Nguyen, Trung-Hiên. "Theoretical and experimental study of optical solutions for analog-to-digital conversion of high bit-rate signals." Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1S110/document.

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Les formats de modulation bidimensionnels (i.e. basés sur l’amplitude et la phase de l’onde porteuse) ont gagné depuis peu le domaine des transmissions par fibre optique grâce aux progrès conjoints de l’électronique rapide et du traitement du signal, indispensables pour réaliser les récepteurs opto-électroniques utilisant la détection cohérente des signaux optiques. Pour pallier les limites actuelles en rapidité de commutation des circuits intégrés électroniques, une voie de recherche a été ouverte il y a quelques années, consistant à utiliser des technologies optiques pour faciliter la parallélisation du traitement du signal, notamment dans l’étape d’échantillonnage ultra-rapide du signal rendu possible par des horloges optiques très performantes. Le thème principal de cette thèse concerne l’étude théorique et expérimentale de la fonction de conversion analogique-numérique (ADC) de signaux optiques par un récepteur opto-électronique cohérent, associant les étapes d’échantillonnage optique linéaire, de conversion analogique-numérique et de traitement du signal. Un prototype, utilisant une solution originale pour la source d’échantillonnage, est modélisé, réalisé et caractérisé, permettant la reconstruction temporelle de signaux optiques modulés selon divers formats : NRZ, QPSK, 16-QAM. Les limitations optiques et électroniques du système sont analysées, notamment l’impact sur la reconstruction des signaux de divers paramètres : le taux d’extinction de la source optique, les paramètres de l’ADC (bande passante BW, temps d’intégration et nombre effectif de bits ENOB). Par ailleurs, de nouveaux algorithmes de traitement du signal sont proposés dans le cadre de la transmission optique cohérente à haut débit utilisant des formats de modulation bidimensionnels (amplitude et phase) : deux solutions sont proposées pour la compensation du déséquilibre de quadrature IQ dans les transmissions mono-porteuses: une méthode originale de l’estimation du maximum du rapport signal sur bruit ainsi qu’une nouvelle structure de compensation et d’égalisation conjointes; ces deux méthodes sont validées expérimentalement et numériquement avec un signal 16-QAM. Par ailleurs, une solution améliorée de récupération de porteuse (décalage de fréquence et estimation de la phase), basée sur une décomposition harmonique circulaire de la fonction de maximum de vraisemblance logarithmique, est validée numériquement pour la première fois dans le contexte des transmissions optiques (jusqu’à une modulation de 128-QAM). Enfin les outils développés dans ce travail ont finalement permis la démonstration d’une transmission sur 100 km d’un signal QPSK à 10 Gbaud fortement limité par un bruit de phase non linéaire et régénéré optiquement à l’aide d’un limiteur de puissance préservant la phase basé sur une nanocavité de cristal photonique
Bi-dimensional modulation formats based on amplitude and phase signal modulation, are now commonly used in optical communications thanks to breakthroughs in the field of electronic and digital signal processing (DSP) required in coherent optical receivers. Photonic solutions could compensate for nowadays limitations of electrical circuits bandwidth by facilitating the signal processing parallelization. Photonic is particularly interesting for signal sampling thanks to available stable optical clocks. The heart of the present work concerns analog-to-digital conversion (ADC) as a key element in coherent detection. A prototype of linear optical sampling using an original solution for the optical sampling source, is built and validated with the successful equivalent time reconstruction of NRZ, QPSK and 16-QAM signals. Some optical and electrical limitations of the system are experimentally and numerically analyzed, notably the extinction ratio of the optical source or the ADC parameters (bandwidth, integration time, effective number of bits ENOB). Moreover, some new DSPs tools are developed for optical transmission using bi-dimensional modulation formats (amplitude and phase). Two solutions are proposed for IQ quadrature imbalance compensation in single carrier optical coherent transmission: an original method of maximum signal-to-noise ratio estimation (MSEM) and a new structure for joint compensation and equalization; these methods are experimentally and numerically validated with 16-QAM signals. Moreover, an improved solution for carrier recovery (frequency offset and phase estimation) based on a circular harmonic expansion of a maximum loglikelihood function is studied for the first time in the context of optical telecommunications. This solution which can operate with any kind of bi-dimensional modulation format signal is numerically validated up to 128-QAM. All the DSP tools developed in this work are finally used in a demonstration of a 10 Gbaud QPSK 100 km transmission experiment, featuring a strong non-linear phase noise limitation and regenerated using a phase preserving and power limiting function based on a photonic crystal nanocavity
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Book chapters on the topic "IQ imbalance"

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Li, Yabo. "The IQ Imbalance Model." In SpringerBriefs in Electrical and Computer Engineering, 3–27. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8618-3_2.

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Li, Yabo. "Frequency Independent IQ Imbalance Estimation and Compensation." In SpringerBriefs in Electrical and Computer Engineering, 29–47. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8618-3_3.

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Li, Yabo. "Frequency Dependent IQ Imbalance Estimation and Compensation." In SpringerBriefs in Electrical and Computer Engineering, 49–62. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8618-3_4.

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Liu, Juan, Jianxin Dai, Chonghu Cheng, and Zhiliang Huang. "Linear Precoding for Massive MIMO Systems with IQ Imbalance." In Machine Learning and Intelligent Communications, 484–93. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73564-1_48.

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Hlaing, Ngu War, Ali Farzamnia, Frydoreen Masmin, Manas Kumar Haldar, and Tohid Yousefi Rezaii. "Performance Analysis of OFDM Channel Estimation Under IQ Imbalance." In Lecture Notes in Electrical Engineering, 805–22. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2406-3_61.

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Suraj, R., M. Venkatesh, C. Charumathi, Alekhya Kapavarapu, K. Pradeep Raj, R. Gandhiraj, and G. A. Shanmugha Sundaram. "BEP Analysis of Filter Bank Multicarrier Under IQ Imbalance." In Lecture Notes in Electrical Engineering, 69–79. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8554-5_8.

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Tubbax, Jan, Boris Côme, Liesbet Van Der Perre, Stéphane Donnay, and Marc Engels. "Joint Compensation of IQ Imbalance, Frequency Offset and Phase Noise." In Multi-Carrier Spread-Spectrum, 473–80. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-017-0502-8_53.

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Wicpalek, C., H. Witschnig, and A. Springer. "On the Compensation of IQ Imbalance in an SC/FDE System." In Multi-Carrier Spread-Spectrum, 401–8. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-4437-2_43.

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Liu, Zhen-xing. "Analysis of the Influence of IQ Imbalance Demodulation on DEM Measurement of Satellite Millimeter-Wave InSAR." In Lecture Notes in Electrical Engineering, 514–22. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4102-9_63.

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Tandur, Deepaknath, and Marc Moonen. "Efficient Compensation of Frequency Selective TX and RX IQ Imbalances in OFDM Systems." In Lecture Notes in Electrical Engineering, 343–51. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2530-2_33.

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Conference papers on the topic "IQ imbalance"

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Bourdoux, Andre, Marc Bauduin, and Claude Desset. "IQ Imbalance Robust OFDM Radar Waveform." In 2018 15th European Radar Conference (EuRAD). IEEE, 2018. http://dx.doi.org/10.23919/eurad.2018.8546643.

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Chrabieh, Rabih, and Samir Soliman. "IQ Imbalance Mitigation via Unbiased Training Sequences." In IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference. IEEE, 2007. http://dx.doi.org/10.1109/glocom.2007.814.

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Schweizer, Benedikt, Christina Knill, Daniel Schindler, and Christian Waldschmidt. "IQ-Imbalance Compensation for Wideband OFDM-Radar." In 2020 14th European Conference on Antennas and Propagation (EuCAP). IEEE, 2020. http://dx.doi.org/10.23919/eucap48036.2020.9135665.

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Hodkin, Jason E., Oscar F. Somerlock, Matthew D. Sharp, Charles L. Farthing, Salvador H. Talisa, and Kenneth W. O'Haver. "IQ imbalance decorrelation in digital array radars." In 2016 IEEE Aerospace Conference. IEEE, 2016. http://dx.doi.org/10.1109/aero.2016.7500846.

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Maltera, Davide, and Fabio Sterle. "ML estimation of receiver IQ imbalance parameters." In 2007 International Waveform Diversity and Design Conference. IEEE, 2007. http://dx.doi.org/10.1109/wddc.2007.4339401.

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Mahmoud, H. A., H. Arslan, M. K. Ozdemir, and F. E. Retnasothie. "IQ Imbalance Correction for OFDMA Uplink Systems." In ICC 2009 - 2009 IEEE International Conference on Communications. IEEE, 2009. http://dx.doi.org/10.1109/icc.2009.5199104.

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Pinto, Enrique T. R., Visa Tapio, and Markku Juntti. "IQ Imbalance Compensation with a Pilot Sequence." In 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). IEEE, 2023. http://dx.doi.org/10.1109/eucnc/6gsummit58263.2023.10188306.

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Li, Chunshu, Min Li, Sofie Pollin, Bjorn Debaillie, Marian Verhelst, Liesbet Van Der Perre, and Rudy Lauwereins. "Reduced Complexity On-chip IQ-Imbalance Self-Calibration." In 2012 IEEE Workshop on Signal Processing Systems (SiPS). IEEE, 2012. http://dx.doi.org/10.1109/sips.2012.39.

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ElSamadouny, Ahmed, Heba Shehata, Tamer Khattab, Khalid Abualsaud, and Mohsen Guizani. "On Correlation-Based Channel Sensing with IQ Imbalance." In 2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2019. http://dx.doi.org/10.1109/iwcmc.2019.8766354.

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Tanabe, Yasuhiko, Yoshimasa Egashira, Tsuguhide Aoki, and Kazumi Sato. "Suitable MIMO-OFDM Decoders to Compensate IQ Imbalance." In 2007 IEEE Wireless Communications and Networking Conference. IEEE, 2007. http://dx.doi.org/10.1109/wcnc.2007.164.

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