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Modeling and Joint Mitigation of TX and RX Nonlinearity Induced Receiver Desensitization

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Modeling and Joint Mitigation of TX and RX Nonlinearity Induced Receiver Desensitization. / Kiayani, Adnan; Anttila, Lauri; Kosunen, Marko; Stadius, Kari; Ryynänen, Jussi; Valkama, Mikko.

In: IEEE Transactions on Microwave Theory and Techniques, Vol. 65, No. 7, 2017, p. 2427-2442.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Kiayani, A, Anttila, L, Kosunen, M, Stadius, K, Ryynänen, J & Valkama, M 2017, 'Modeling and Joint Mitigation of TX and RX Nonlinearity Induced Receiver Desensitization', IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 7, pp. 2427-2442. https://doi.org/10.1109/TMTT.2017.2654222

APA

Kiayani, A., Anttila, L., Kosunen, M., Stadius, K., Ryynänen, J., & Valkama, M. (2017). Modeling and Joint Mitigation of TX and RX Nonlinearity Induced Receiver Desensitization. IEEE Transactions on Microwave Theory and Techniques, 65(7), 2427-2442. https://doi.org/10.1109/TMTT.2017.2654222

Vancouver

Kiayani A, Anttila L, Kosunen M, Stadius K, Ryynänen J, Valkama M. Modeling and Joint Mitigation of TX and RX Nonlinearity Induced Receiver Desensitization. IEEE Transactions on Microwave Theory and Techniques. 2017;65(7):2427-2442. https://doi.org/10.1109/TMTT.2017.2654222

Author

Kiayani, Adnan ; Anttila, Lauri ; Kosunen, Marko ; Stadius, Kari ; Ryynänen, Jussi ; Valkama, Mikko. / Modeling and Joint Mitigation of TX and RX Nonlinearity Induced Receiver Desensitization. In: IEEE Transactions on Microwave Theory and Techniques. 2017 ; Vol. 65, No. 7. pp. 2427-2442.

Bibtex - Download

@article{0177d107a6af463284d500f8edbdb482,
title = "Modeling and Joint Mitigation of TX and RX Nonlinearity Induced Receiver Desensitization",
abstract = "In this article, we provide detailed modeling of the spurious intermodulation distortion (IMD) products appearing in the own receiver (RX) operating band as a result of coexisting transmitter (TX) and RX nonlinearities with noncontiguous carrier aggregation (CA) transmissions. Furthermore, an efficient baseband digital signal processing technique is proposed, which can flexibly mitigate the resulting receiver in-band self-interference caused either by individual or simultaneously coexisting TX and RX nonlinearities. The technique is based on accurately estimating the effective leakage channel that models the nonlinearities of the transmitter and receiver chains and the duplexer filters characteristics. In the parameter estimation stage, an observation receiver chain is adopted for separately estimating the TX passband leakage response, which facilitates efficient joint estimation and regeneration of the TX and RX induced self-interference. In the online digital cancellation, the actual transmit data is used in conjunction with the estimated channel responses to generate a replica of the overall nonlinear self-interference, which is subsequently suppressed by subtracting it from the actual observation. In general, the proposed technique can efficiently estimate and suppress the self-interference at arbitrary spurious sub-bands located at the RX band. The performance evaluations with comprehensive numerical simulations and practical RF measurements indicate that the proposed technique can achieve up to 28 dB of measured self-interference suppression.",
keywords = "Carrier aggregation (CA), digital cancellation, desensitization, frequency division duplexing (FDD), intermodulation distortion (IMD), low noise amplifier, LTE-advanced, power amplifier, self-interference, spurious emissions, 5G",
author = "Adnan Kiayani and Lauri Anttila and Marko Kosunen and Kari Stadius and Jussi Ryyn{\"a}nen and Mikko Valkama",
year = "2017",
doi = "10.1109/TMTT.2017.2654222",
language = "English",
volume = "65",
pages = "2427--2442",
journal = "IEEE Transactions on Microwave Theory and Techniques",
issn = "0018-9480",
publisher = "Institute of Electrical and Electronics Engineers",
number = "7",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Modeling and Joint Mitigation of TX and RX Nonlinearity Induced Receiver Desensitization

AU - Kiayani, Adnan

AU - Anttila, Lauri

AU - Kosunen, Marko

AU - Stadius, Kari

AU - Ryynänen, Jussi

AU - Valkama, Mikko

PY - 2017

Y1 - 2017

N2 - In this article, we provide detailed modeling of the spurious intermodulation distortion (IMD) products appearing in the own receiver (RX) operating band as a result of coexisting transmitter (TX) and RX nonlinearities with noncontiguous carrier aggregation (CA) transmissions. Furthermore, an efficient baseband digital signal processing technique is proposed, which can flexibly mitigate the resulting receiver in-band self-interference caused either by individual or simultaneously coexisting TX and RX nonlinearities. The technique is based on accurately estimating the effective leakage channel that models the nonlinearities of the transmitter and receiver chains and the duplexer filters characteristics. In the parameter estimation stage, an observation receiver chain is adopted for separately estimating the TX passband leakage response, which facilitates efficient joint estimation and regeneration of the TX and RX induced self-interference. In the online digital cancellation, the actual transmit data is used in conjunction with the estimated channel responses to generate a replica of the overall nonlinear self-interference, which is subsequently suppressed by subtracting it from the actual observation. In general, the proposed technique can efficiently estimate and suppress the self-interference at arbitrary spurious sub-bands located at the RX band. The performance evaluations with comprehensive numerical simulations and practical RF measurements indicate that the proposed technique can achieve up to 28 dB of measured self-interference suppression.

AB - In this article, we provide detailed modeling of the spurious intermodulation distortion (IMD) products appearing in the own receiver (RX) operating band as a result of coexisting transmitter (TX) and RX nonlinearities with noncontiguous carrier aggregation (CA) transmissions. Furthermore, an efficient baseband digital signal processing technique is proposed, which can flexibly mitigate the resulting receiver in-band self-interference caused either by individual or simultaneously coexisting TX and RX nonlinearities. The technique is based on accurately estimating the effective leakage channel that models the nonlinearities of the transmitter and receiver chains and the duplexer filters characteristics. In the parameter estimation stage, an observation receiver chain is adopted for separately estimating the TX passband leakage response, which facilitates efficient joint estimation and regeneration of the TX and RX induced self-interference. In the online digital cancellation, the actual transmit data is used in conjunction with the estimated channel responses to generate a replica of the overall nonlinear self-interference, which is subsequently suppressed by subtracting it from the actual observation. In general, the proposed technique can efficiently estimate and suppress the self-interference at arbitrary spurious sub-bands located at the RX band. The performance evaluations with comprehensive numerical simulations and practical RF measurements indicate that the proposed technique can achieve up to 28 dB of measured self-interference suppression.

KW - Carrier aggregation (CA)

KW - digital cancellation

KW - desensitization

KW - frequency division duplexing (FDD)

KW - intermodulation distortion (IMD)

KW - low noise amplifier

KW - LTE-advanced

KW - power amplifier

KW - self-interference

KW - spurious emissions

KW - 5G

U2 - 10.1109/TMTT.2017.2654222

DO - 10.1109/TMTT.2017.2654222

M3 - Article

VL - 65

SP - 2427

EP - 2442

JO - IEEE Transactions on Microwave Theory and Techniques

JF - IEEE Transactions on Microwave Theory and Techniques

SN - 0018-9480

IS - 7

ER -