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Digital Mitigation of Transmitter-Induced Receiver Desensitization in Carrier Aggregation FDD Transceivers

Tutkimustuotosvertaisarvioitu

Standard

Digital Mitigation of Transmitter-Induced Receiver Desensitization in Carrier Aggregation FDD Transceivers. / Kiayani, A.; Abdelaziz, M.; Anttila, L.; Lehtinen, V.; Valkama, M.

julkaisussa: IEEE Transactions on Microwave Theory and Techniques, Vuosikerta 63, Nro 11, 2015, s. 3608-3623.

Tutkimustuotosvertaisarvioitu

Harvard

Kiayani, A, Abdelaziz, M, Anttila, L, Lehtinen, V & Valkama, M 2015, 'Digital Mitigation of Transmitter-Induced Receiver Desensitization in Carrier Aggregation FDD Transceivers', IEEE Transactions on Microwave Theory and Techniques, Vuosikerta. 63, Nro 11, Sivut 3608-3623. https://doi.org/10.1109/TMTT.2015.2478005

APA

Kiayani, A., Abdelaziz, M., Anttila, L., Lehtinen, V., & Valkama, M. (2015). Digital Mitigation of Transmitter-Induced Receiver Desensitization in Carrier Aggregation FDD Transceivers. IEEE Transactions on Microwave Theory and Techniques, 63(11), 3608-3623. https://doi.org/10.1109/TMTT.2015.2478005

Vancouver

Kiayani A, Abdelaziz M, Anttila L, Lehtinen V, Valkama M. Digital Mitigation of Transmitter-Induced Receiver Desensitization in Carrier Aggregation FDD Transceivers. IEEE Transactions on Microwave Theory and Techniques. 2015;63(11):3608-3623. https://doi.org/10.1109/TMTT.2015.2478005

Author

Kiayani, A. ; Abdelaziz, M. ; Anttila, L. ; Lehtinen, V. ; Valkama, M. / Digital Mitigation of Transmitter-Induced Receiver Desensitization in Carrier Aggregation FDD Transceivers. Julkaisussa: IEEE Transactions on Microwave Theory and Techniques. 2015 ; Vuosikerta 63, Nro 11. Sivut 3608-3623.

Bibtex - Lataa

@article{3b1784ee942a4aaf8e8820d3b768f8ad,
title = "Digital Mitigation of Transmitter-Induced Receiver Desensitization in Carrier Aggregation FDD Transceivers",
abstract = "Carrier aggregation transmissions in frequency division duplexing devices reduce the duplexing distance between the transmitter (TX) and receiver (RX) bands. As a consequence, the spurious intermodulation distortion products created by the nonlinear RF front-end of the TX may easily extend over to the RX band, potentially causing own RX desensitization. In this paper, we propose an efficient and computationally feasible adaptive digital identification and cancellation technique to mitigate the RX desensitization. We first show that the spurious leakage signal at own RX band depends on an equivalent leakage channel that models the overall signal leakage path including the TX nonlinearities, duplexer filter responses, and RX path. The parameters of the equivalent leakage channel can be efficiently estimated with the least squares or the recursive least squares algorithm, using the actual digital transmit data as a reference, and then used to regenerate and cancel the leakage interference from the received signal. The performance of the proposed technique is evaluated with extensive computer simulations, as well as with practical real-world RF measurements, demonstrating excellent calibration properties with up to 19-dB improvement in singal-to-interference plus noise ratio of the desired received signal.",
keywords = "Baseband, Interference, Long Term Evolution, Noise, Nonlinear distortion, Radio frequency, Transceivers, Carrier aggregation (CA), frequency division duplexing (FDD), in-phase-quadrature (I/Q) imbalance, interference cancellation, intermodulation distortion (IMD), long-term evolution (LTE)-Advanced, spurious emissions",
author = "A. Kiayani and M. Abdelaziz and L. Anttila and V. Lehtinen and M. Valkama",
year = "2015",
doi = "10.1109/TMTT.2015.2478005",
language = "English",
volume = "63",
pages = "3608--3623",
journal = "IEEE Transactions on Microwave Theory and Techniques",
issn = "0018-9480",
publisher = "Institute of Electrical and Electronics Engineers",
number = "11",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Digital Mitigation of Transmitter-Induced Receiver Desensitization in Carrier Aggregation FDD Transceivers

AU - Kiayani, A.

AU - Abdelaziz, M.

AU - Anttila, L.

AU - Lehtinen, V.

AU - Valkama, M.

PY - 2015

Y1 - 2015

N2 - Carrier aggregation transmissions in frequency division duplexing devices reduce the duplexing distance between the transmitter (TX) and receiver (RX) bands. As a consequence, the spurious intermodulation distortion products created by the nonlinear RF front-end of the TX may easily extend over to the RX band, potentially causing own RX desensitization. In this paper, we propose an efficient and computationally feasible adaptive digital identification and cancellation technique to mitigate the RX desensitization. We first show that the spurious leakage signal at own RX band depends on an equivalent leakage channel that models the overall signal leakage path including the TX nonlinearities, duplexer filter responses, and RX path. The parameters of the equivalent leakage channel can be efficiently estimated with the least squares or the recursive least squares algorithm, using the actual digital transmit data as a reference, and then used to regenerate and cancel the leakage interference from the received signal. The performance of the proposed technique is evaluated with extensive computer simulations, as well as with practical real-world RF measurements, demonstrating excellent calibration properties with up to 19-dB improvement in singal-to-interference plus noise ratio of the desired received signal.

AB - Carrier aggregation transmissions in frequency division duplexing devices reduce the duplexing distance between the transmitter (TX) and receiver (RX) bands. As a consequence, the spurious intermodulation distortion products created by the nonlinear RF front-end of the TX may easily extend over to the RX band, potentially causing own RX desensitization. In this paper, we propose an efficient and computationally feasible adaptive digital identification and cancellation technique to mitigate the RX desensitization. We first show that the spurious leakage signal at own RX band depends on an equivalent leakage channel that models the overall signal leakage path including the TX nonlinearities, duplexer filter responses, and RX path. The parameters of the equivalent leakage channel can be efficiently estimated with the least squares or the recursive least squares algorithm, using the actual digital transmit data as a reference, and then used to regenerate and cancel the leakage interference from the received signal. The performance of the proposed technique is evaluated with extensive computer simulations, as well as with practical real-world RF measurements, demonstrating excellent calibration properties with up to 19-dB improvement in singal-to-interference plus noise ratio of the desired received signal.

KW - Baseband

KW - Interference

KW - Long Term Evolution

KW - Noise

KW - Nonlinear distortion

KW - Radio frequency

KW - Transceivers

KW - Carrier aggregation (CA)

KW - frequency division duplexing (FDD)

KW - in-phase-quadrature (I/Q) imbalance

KW - interference cancellation

KW - intermodulation distortion (IMD)

KW - long-term evolution (LTE)-Advanced

KW - spurious emissions

U2 - 10.1109/TMTT.2015.2478005

DO - 10.1109/TMTT.2015.2478005

M3 - Article

VL - 63

SP - 3608

EP - 3623

JO - IEEE Transactions on Microwave Theory and Techniques

JF - IEEE Transactions on Microwave Theory and Techniques

SN - 0018-9480

IS - 11

ER -