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Journal articles on the topic 'IQ imbalance'

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Published: 4 June 2021
Last updated: 6 September 2023

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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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Gu, Cun, Choi Law, and Wen Wu. "Time domain IQ imbalance compensation for wideband wireless systems." IEEE Communications Letters 14, no. 6 (June 2010): 539–41. http://dx.doi.org/10.1109/lcomm.2010.06.091883.

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12

Li, Wei, Yue Zhang, Jin Wang, Li‐ke Huang, Jian Xiong, and Carster Maple. "Diode‐based IQ imbalance estimation in direct conversion transmitters." Electronics Letters 50, no. 5 (February 2014): 409–11. http://dx.doi.org/10.1049/el.2013.3819.

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13

AbdEllatif, Aly Mahmoud, Ahmed Hesham Mehana, and Yasmine Fahmy. "IQ imbalance analysis and compensation in multiple antenna systems." IET Communications 14, no. 11 (July 14, 2020): 1748–58. http://dx.doi.org/10.1049/iet-com.2019.0948.

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14

Mattera, D., L. Paura, and F. Sterle. "MMSE WL Equalizer in Presence of Receiver IQ Imbalance." IEEE Transactions on Signal Processing 56, no. 4 (April 2008): 1735–40. http://dx.doi.org/10.1109/tsp.2007.909380.

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15

Tandur, Deepaknath, and Marc Moonen. "Decoupled compensation of IQ imbalance in MIMO OFDM systems." Signal Processing 91, no. 5 (May 2011): 1194–209. http://dx.doi.org/10.1016/j.sigpro.2010.11.008.

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16

Zhang, Xiaohui, Hongxiang Li, Wenqi Liu, and Junling Qiao. "Iterative IQ Imbalance Compensation Receiver for Single Carrier Transmission." IEEE Transactions on Vehicular Technology 66, no. 9 (September 2017): 8238–48. http://dx.doi.org/10.1109/tvt.2017.2690963.

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17

Wang, Zhenduo, Xiaoyan Ning, and Zhiguo Sun. "BER analysis of IQ imbalance compensation for GFDM systems." Electronics Letters 56, no. 21 (October 15, 2020): 1151–53. http://dx.doi.org/10.1049/el.2020.1545.

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18

Tang, Nan, Shiwen He, Chunlin Xue, Yongming Huang, and Luxi Yang. "IQ Imbalance Compensation for Generalized Frequency Division Multiplexing Systems." IEEE Wireless Communications Letters 6, no. 4 (August 2017): 422–25. http://dx.doi.org/10.1109/lwc.2017.2699961.

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19

Yang, Liu, Kai Kang, Ting Zhou, Hua Qian, and Yang Yang. "Calibration of transmitter IQ imbalance with 1-bit feedback." Digital Signal Processing 79 (August 2018): 47–56. http://dx.doi.org/10.1016/j.dsp.2018.04.009.

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20

Benseñor, Isabela M., Margareth Eira, Egídio Lima Dorea, Eduardo M. Dantas, José Geraldo Mill, and Paulo A. Lotufo. "Heart Rate Variability in HIV Patients, Diabetics, and Controls: The AGATAA Study." ISRN Vascular Medicine 2011 (July 14, 2011): 1–8. http://dx.doi.org/10.5402/2011/876864.

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HIV infection can affect cardiac autonomic function. We aimed to compare heart rate variability in 29 HIV-infected patients using highly active antiretroviral therapy (HAART), 28 naïve-treatment HIV patients, and diabetics with controls. There was no difference in time index parameters among groups. The normalized power of the low-frequency component (LF) in naïve patients of 39.9 (interquartile interval (IQ), 28.5–65.7) and diabetics of 42.9 (IQ, 14.5–57.7) were decreased compared with controls (67.5, IQ, 37.9–75.4). The normalized power of the high-frequency component (HF) in naïves of 49.7 (IQ, 30.4–64.8), and diabetics of 53.1 (IQ, 34.5–72.2) were increased compared with controls (27.0, IQ, 19.0–57.3). Naïve and diabetics also presented with lower LF/HF ratios (0.8 (IQ, 0.6–2.3), and 0.9 (IQ, 0.3–1.4),) compared with controls (2.3 (IQ, 0.8–3.3)). We can speculate that HAART improves autonomic imbalance in frequency domain indices because there was no difference between the HAART group and controls.
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21

Li, Wei, Yue Zhang, Li-Ke Huang, John Cosmas, Carsten Maple, and Jian Xiong. "Self-IQ-Demodulation Based Compensation Scheme of Frequency-Dependent IQ Imbalance for Wideband Direct-Conversion Transmitters." IEEE Transactions on Broadcasting 61, no. 4 (December 2015): 666–73. http://dx.doi.org/10.1109/tbc.2015.2465138.

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22

Bouhlel, Asma, and Anis Sakly. "Impact of IQ Imbalance on RIS-Assisted SISO Communication Systems." Wireless Communications and Mobile Computing 2021 (August 11, 2021): 1–12. http://dx.doi.org/10.1155/2021/6673807.

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Reconfigurable intelligent surface (RIS) for wireless networks has emerged as a promising future transmission technique to create smart radio environments that improve the system performance by turning the wireless channel into an adjustable system block. However, transceivers come with various hardware impairments, such as phase noise and in-phase/quadrature-phase imbalance (IQI). Hence, for robust configuration of RIS-based communication under practical conditions, assuming the identical performance analysis when subject to IQI, will lead to inaccurate analysis. In this paper, the implementation of this novel transmission technique is thoroughly investigated under intensive realistic circumstances. For this purpose, based on the maximum likelihood (ML) detector, a novel analytical expression of average pairwise error probability under IQI is proposed and compared to the standard ML detector. Further, the proposed analytical approaches are confirmed by numerical simulations.
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23

Alaca, Ozgur, Saud Althunibat, Scott L. Miller, and Khalid A. Qaraqe. "Analysis of Receiver IQ-Imbalance in IM-OFDMA Uplink Systems." IEEE Communications Letters 26, no. 4 (April 2022): 917–21. http://dx.doi.org/10.1109/lcomm.2022.3143856.

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24

Al Amin, Abdullah, Sander L. Jansen, Hidenori Takahashi, Itsuro Morita, and Hideaki Tanaka. "A hybrid IQ imbalance compensation method for optical OFDM transmission." Optics Express 18, no. 5 (February 24, 2010): 4859. http://dx.doi.org/10.1364/oe.18.004859.

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25

Tubbax, J., B. Come, L. Van der Perre, S. Donnay, M. Engels, Hugo De Man, and M. Moonen. "Compensation of IQ imbalance and phase noise in OFDM systems." IEEE Transactions on Wireless Communications 4, no. 3 (May 2005): 872–77. http://dx.doi.org/10.1109/twc.2004.843057.

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26

Sakai, Manabu, Hai Lin, and Katsumi Yamashita. "Self-interference cancellation in full-duplex wireless with IQ imbalance." Physical Communication 18 (March 2016): 2–14. http://dx.doi.org/10.1016/j.phycom.2015.12.002.

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27

KATO, Y., T. IKUNO, and Y. SANADA. "IQ Imbalance Compensation Scheme for MB-OFDM Using Transmission Diversity." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E89-A, no. 11 (November 1, 2006): 3066–74. http://dx.doi.org/10.1093/ietfec/e89-a.11.3066.

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28

Suyoto, Suyoto, Agus Subekti, Arief Suryadi Satyawan, Nasrullah Armi, Chaeriah Bin Ali Wael, and Galih Nugraha Nurkahfi. "Impact of carrier frequency offset and in-phase and quadrature imbalance on the performance of wireless precoded orthogonal frequency division multiplexing." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (October 1, 2022): 5153. http://dx.doi.org/10.11591/ijece.v12i5.pp5153-5163.

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<p>Precoding in orthogonal frequency division multiplexing (OFDM) system proved to reduce the peak-to-average power ratio (PAPR), so that it improves BER. However, from the existing literature, the effect of carrier frequency offset (CFO), in-phase and quadrature (IQ) imbalance on precoded wireless OFDM systems has not been carried out. Therefore, this study evaluated the precoded OFDM (P-OFDM) system performance by considering the impact of CFO and IQ imbalance. P-OFDM performance evaluation is expressed in signal-to-interference noise ratio (SINR) and bit error rates (BER). The communication channels used are the additive white Gaussian noise (AWGN) channel and the frequency-selective Rayleigh fading (FSRF) channel, while the channel equalization process is considered perfect. The results of the analysis and simulation show that P-OFDM is greater affected by the presence of CFO and IQ imbalance than conventional OFDM system. In AWGN channel, P-OFDM experiences different SINR for each subcarrier. This is different from conventional OFDM system, where all SINRs are the same for all subcarriers. In the FSRF channel, both the POFDM system and the OFDM system experience different SINR for each subcarrier, where the SINRs fluctuation in the P-OFDM system is much larger than in the OFDM system.</p>
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29

Arora, Nishi, and Praveen Kumar. "EMOTIONAL INTELLIGENCE IN ANCIENT SCIENCE WITH SPECIAL REFERENCE TO CHARAK SAMHITA AND SHRIMAD BHAGWAD GITA." International Journal of Research -GRANTHAALAYAH 6, no. 8 (August 31, 2018): 168–71. http://dx.doi.org/10.29121/granthaalayah.v6.i8.2018.1420.

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The author first introduces emotion, later adding that the essence of the Ancient psychology and psychology of contemporary times are practically similar to a fault disregarding the discrepancies in languages and terms. The paper is condensed to the pathology behind emotional disruptions, the general principal of combating the same and prevention of emotional imbalance (deviation of emotional intelligence). EQ is said to be objectively more important than IQ in many ways according to the reasoning that emotional intelligence is tied to cognition and emotional imbalance can create difficulties in the social and individual lives of people, causing reduction in productivity. The root causes of emotional imbalances are the imbalance of the three elements of mind: Sattva (similar to Super ego), Rajas (similar to Ego) and Tamas (similar to Id). Charak Samhita has explained the origin of Emotional turmoil, and various techniques to prevent and treat them. Shrimad Bhagwad Gita is a universal philosophy that has touched almost every aspect of human psychology, especially emotions.
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30

Sandell, Magnus, Evgeny Tsimbalo, Seifallah Jardak, Daisuke Uchida, Koji Akita, Daiki Yoda, Tamio Kawaguchi, and Makoto Sano. "Estimation of Wideband IQ Imbalance in MIMO OFDM Systems With CFO." IEEE Transactions on Wireless Communications 20, no. 9 (September 2021): 5821–30. http://dx.doi.org/10.1109/twc.2021.3070387.

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31

Mahendra, Rachit, Saif Khan Mohammed, and Ranjan K. Mallik. "Compensation of Transmitter IQ Imbalance in Multi-User Hybrid Beamforming Systems." IEEE Access 9 (2021): 98231–48. http://dx.doi.org/10.1109/access.2021.3094560.

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32

Ryu, Sang-Burm, Sang-Kyun Kim, and Heung-Gyoon Ryu. "Compensation of OFDM Signal Degraded by Phase Noise and IQ Imbalance." Journal of Korean Institute of Electromagnetic Engineering and Science 19, no. 9 (September 30, 2008): 1028–36. http://dx.doi.org/10.5515/kjkiees.2008.19.9.1028.

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33

PARK, Chester Sungchung, and Fitzgerald Sungkyung PARK. "Digital Compensation of IQ Imbalance for Dual-Carrier Double Conversion Receivers." IEICE Transactions on Communications E95.B, no. 5 (2012): 1612–19. http://dx.doi.org/10.1587/transcom.e95.b.1612.

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34

Jovanovic, B., and S. Milenkovic. "Transmitter IQ Imbalance Mitigation and PA Linearization in Software Defined Radios." Radioengineering 31, no. 1 (April 14, 2022): 144–54. http://dx.doi.org/10.13164/re.2022.0144.

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35

LIU, Rui, Lv DING, and Xi Qi GAO. "Low Complexity Turbo Receiver for LTE Uplink with Transmitter IQ Imbalance." IEICE Transactions on Communications E95.B, no. 3 (2012): 913–23. http://dx.doi.org/10.1587/transcom.e95.b.913.

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36

Nguyen, Trung-Hien, Pascal Scalart, Mathilde Gay, Laurent Bramerie, Olivier Sentieys, Jean-Claude Simon, Christophe Peucheret, and Michel Joindot. "Blind Transmitter IQ Imbalance Compensation in M-QAM Optical Coherent Systems." Journal of Optical Communications and Networking 9, no. 9 (August 11, 2017): D42. http://dx.doi.org/10.1364/jocn.9.000d42.

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37

Le, Long D., and Ha H. Nguyen. "Compensation of Phase Noise and IQ Imbalance in Multi-Carrier Systems." IEEE Access 8 (2020): 191263–77. http://dx.doi.org/10.1109/access.2020.3032555.

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38

Weikun Hou and Ming Jiang. "Enhanced Joint Channel and IQ Imbalance Parameter Estimation for Mobile Communications." IEEE Communications Letters 17, no. 7 (July 2013): 1392–95. http://dx.doi.org/10.1109/lcomm.2013.052413.130682.

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39

Wong, Lauren J., William Christopher Headley, and Alan J. Michaels. "Specific Emitter Identification Using Convolutional Neural Network-Based IQ Imbalance Estimators." IEEE Access 7 (2019): 33544–55. http://dx.doi.org/10.1109/access.2019.2903444.

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40

Mehrabian, Amir, and Amir Zaimbashi. "Robust and Blind Eigenvalue-Based Multiantenna Spectrum Sensing Under IQ Imbalance." IEEE Transactions on Wireless Communications 17, no. 8 (August 2018): 5581–91. http://dx.doi.org/10.1109/twc.2018.2847357.

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41

El-Mashed, Mohamed G. "Massive Relaying Communication System Under IQ Imbalance and Hardware Manufacturing Problems." IEEE Systems Journal 13, no. 4 (December 2019): 3889–96. http://dx.doi.org/10.1109/jsyst.2019.2891564.

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42

Ali, Muhammad Asim, Muhammad Arif, and Wanod Kumar. "Joint CIR, CFO, DCO and FI/FS Rx IQ imbalance estimation." IET Communications 10, no. 15 (October 13, 2016): 2025–33. http://dx.doi.org/10.1049/iet-com.2015.1063.

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43

Zekkari, Chahrazed, Mohamed Djendi, and Abderrezak Guessoum. "Efficient adaptive filtering algorithm for IQ imbalance compensation Tx/Rx systems." IET Signal Processing 12, no. 5 (July 2018): 566–73. http://dx.doi.org/10.1049/iet-spr.2017.0448.

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44

PARK, K. W. "A Detection Method for an OFDM Signal Distorted by IQ Imbalance." IEICE Transactions on Communications E89-B, no. 3 (March 1, 2006): 1016–19. http://dx.doi.org/10.1093/ietcom/e89-b.3.1016.

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45

Jiang, Shan, Guijun Hu, Zhaoxi Li, Liping Mu, and Jingdong Zhang. "ICA-based compensation for IQ imbalance in OFDM optical fiber communication." Optics Communications 310 (January 2014): 80–84. http://dx.doi.org/10.1016/j.optcom.2013.07.039.

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46

Zhang, Changming, Zhenyu Xiao, Bo Gao, Li Su, and Depeng Jin. "Receiver IQ Imbalance Estimation via Pure Noise for 60 GHz Systems." Wireless Personal Communications 75, no. 2 (September 8, 2013): 915–24. http://dx.doi.org/10.1007/s11277-013-1397-0.

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47

Liang, Yan, Hongbin Li, Fei Li, Rongfang Song, and Lihua Yang. "Channel Compensation for Reciprocal TDD Massive MIMO-OFDM With IQ Imbalance." IEEE Wireless Communications Letters 6, no. 6 (December 2017): 778–81. http://dx.doi.org/10.1109/lwc.2017.2740936.

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48

Nguyen, Trung-Hien, Pascal Scalart, Mathilde Gay, Laurent Bramerie, Christophe Peucheret, Fausto Gomez-Agis, Olivier Sentieys, Jean-Claude Simon, and Michel Joindot. "New metric for IQ imbalance compensation in optical QPSK coherent systems." Photonic Network Communications 36, no. 3 (July 13, 2018): 326–37. http://dx.doi.org/10.1007/s11107-018-0783-7.

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49

Zhou, Meijing, Nan Chen, Changhua Zhu, and Yunhui Yi. "Joint Digital Self-interference Cancellation in Full-duplex Radios under IQ Imbalance and Transmitter Non-linearity." ITM Web of Conferences 17 (2018): 01003. http://dx.doi.org/10.1051/itmconf/20181701003.

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RF imperfections can significantly degrade the performance of full-duplex wireless communication system by introducing non-idealities and random effects, which make it difficult to cancel the self-interference completely. In this paper, we first address the adverse benefits of both the transmitter non-linearity and the IQ imbalance. Then on the basis of these, a joint digital self-interference cancellation scheme is proposed, in which not only the effect of IQ imbalance and power amplifier non-linearity individually, but also the comprehensive function of them are taken into account. Furthermore, the simulation is implemented in the MATLAB platform using standard WiFi 802.11ac PHYs. The results show that the proposed canceller can eliminate more compared with other cancellation schemes, and the overall self-interference attenuation can attain 108dB, which makes the residual self-interference closer to the noise floor.
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50

Mailand, M., R. Richter, and H. J. Jentschel. "IQ-imbalance and its compensation for non-ideal analog receivers comprising frequency-selective components." Advances in Radio Science 4 (September 6, 2006): 189–95. http://dx.doi.org/10.5194/ars-4-189-2006.

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Abstract. Within current implementations of mobile terminals, more and more analog components are replaced by appropriate digital processing. On the one hand, the analog front-ends become less complex. On the other hand, more digital signal processing is required to compensate for the spurious effects of the front-end. In this article, the frequency-selective imbalance of the in-phase and quadrature-phase signals is addressed. A closed representation of arbitrary signals being processed by an arbitrary imbalanced analog front-end is provided. The analysis is valid for both, direct conversion and intermediate frequency (IF) reception. With the consideration of practical variations of amplitude and phase impairments, the influence of only the frequency-dependent portions of the impairments is investigated. It is shown, that the compensation of the quasi-linear impairments is sufficient and complex deconvolutive IQ-regeneration procedures are not stringently required to obtain sufficient signal qualities.
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