Adaptive Nonlinear RF Cancellation for Improved Isolation in Simultaneous Transmit-Receive Systems

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Adaptive Nonlinear RF Cancellation for Improved Isolation in Simultaneous Transmit-Receive Systems. / Kiayani, Adnan; Waheed, Muhammad Zeeshan; Anttila, Lauri; Abdelaziz, Mahmoud; Korpi, Dani; Syrjala, Ville; Kosunen, Marko; Stadius, Kari; Ryynanen, Jussi; Valkama, Mikko.

In: IEEE Transactions on Microwave Theory and Techniques, Vol. 66, No. 5, 2018, p. 2299-2312.

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Kiayani, Adnan ; Waheed, Muhammad Zeeshan ; Anttila, Lauri ; Abdelaziz, Mahmoud ; Korpi, Dani ; Syrjala, Ville ; Kosunen, Marko ; Stadius, Kari ; Ryynanen, Jussi ; Valkama, Mikko. / Adaptive Nonlinear RF Cancellation for Improved Isolation in Simultaneous Transmit-Receive Systems. In: IEEE Transactions on Microwave Theory and Techniques. 2018 ; Vol. 66, No. 5. pp. 2299-2312.

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@article{490be53957e1439d94fd001a7576eec1,
title = "Adaptive Nonlinear RF Cancellation for Improved Isolation in Simultaneous Transmit-Receive Systems",
abstract = "This paper proposes an active radio frequency (RF) cancellation solution to suppress the transmitter (TX) passband leakage signal in radio transceivers supporting simultaneous transmission and reception. The proposed technique is based on creating an opposite-phase baseband equivalent replica of the TX leakage signal in the transceiver digital front-end through adaptive nonlinear filtering of the known transmit data, to facilitate highly accurate cancellation under a nonlinear power amplifier (PA). The active RF cancellation is then accomplished by employing an auxiliary TX chain to generate the actual RF cancellation signal, and combining it with the received signal at the receiver (RX) low-noise amplifier (LNA) input. A closed-loop parameter learning approach, based on the decorrelation learning rule, is also developed to efficiently estimate the coefficients of the nonlinear cancellation filter in the presence of a nonlinear PA with memory, finite passive isolation, and a nonlinear LNA. The performance of the proposed cancellation technique is evaluated through comprehensive RF measurements adopting commercial LTE-Advanced transceiver hardware components. The results show that the proposed technique can provide an additional suppression of up to 54 dB for the TX passband leakage signal at the LNA input, even at very high transmit power levels and with wide transmission bandwidths. Such a novel cancellation solution can, therefore, substantially improve the TX-RX isolation, hence reducing the requirements on passive isolation and RF component linearity, as well as increasing the efficiency and flexibility of the RF spectrum use in the emerging 5G radio networks.",
keywords = "5G, adaptive cancellation, Baseband, carrier aggregation (CA), Couplings, duplexer isolation, flexible duplexing, frequency division duplexing, in-band full duplex (IBFD), least-mean squares (LMS), LTE-Advanced, Nonlinear distortion, nonlinear distortion, Passband, Radio frequency, radio frequency (RF) cancellation, Radio transceivers, self-interference (SI), transmitter (TX) leakage signal.",
author = "Adnan Kiayani and Waheed, {Muhammad Zeeshan} and Lauri Anttila and Mahmoud Abdelaziz and Dani Korpi and Ville Syrjala and Marko Kosunen and Kari Stadius and Jussi Ryynanen and Mikko Valkama",
year = "2018",
doi = "10.1109/TMTT.2017.2786729",
language = "English",
volume = "66",
pages = "2299--2312",
journal = "IEEE Transactions on Microwave Theory and Techniques",
issn = "0018-9480",
number = "5",

}

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TY - JOUR

T1 - Adaptive Nonlinear RF Cancellation for Improved Isolation in Simultaneous Transmit-Receive Systems

AU - Kiayani, Adnan

AU - Waheed, Muhammad Zeeshan

AU - Anttila, Lauri

AU - Abdelaziz, Mahmoud

AU - Korpi, Dani

AU - Syrjala, Ville

AU - Kosunen, Marko

AU - Stadius, Kari

AU - Ryynanen, Jussi

AU - Valkama, Mikko

PY - 2018

Y1 - 2018

N2 - This paper proposes an active radio frequency (RF) cancellation solution to suppress the transmitter (TX) passband leakage signal in radio transceivers supporting simultaneous transmission and reception. The proposed technique is based on creating an opposite-phase baseband equivalent replica of the TX leakage signal in the transceiver digital front-end through adaptive nonlinear filtering of the known transmit data, to facilitate highly accurate cancellation under a nonlinear power amplifier (PA). The active RF cancellation is then accomplished by employing an auxiliary TX chain to generate the actual RF cancellation signal, and combining it with the received signal at the receiver (RX) low-noise amplifier (LNA) input. A closed-loop parameter learning approach, based on the decorrelation learning rule, is also developed to efficiently estimate the coefficients of the nonlinear cancellation filter in the presence of a nonlinear PA with memory, finite passive isolation, and a nonlinear LNA. The performance of the proposed cancellation technique is evaluated through comprehensive RF measurements adopting commercial LTE-Advanced transceiver hardware components. The results show that the proposed technique can provide an additional suppression of up to 54 dB for the TX passband leakage signal at the LNA input, even at very high transmit power levels and with wide transmission bandwidths. Such a novel cancellation solution can, therefore, substantially improve the TX-RX isolation, hence reducing the requirements on passive isolation and RF component linearity, as well as increasing the efficiency and flexibility of the RF spectrum use in the emerging 5G radio networks.

AB - This paper proposes an active radio frequency (RF) cancellation solution to suppress the transmitter (TX) passband leakage signal in radio transceivers supporting simultaneous transmission and reception. The proposed technique is based on creating an opposite-phase baseband equivalent replica of the TX leakage signal in the transceiver digital front-end through adaptive nonlinear filtering of the known transmit data, to facilitate highly accurate cancellation under a nonlinear power amplifier (PA). The active RF cancellation is then accomplished by employing an auxiliary TX chain to generate the actual RF cancellation signal, and combining it with the received signal at the receiver (RX) low-noise amplifier (LNA) input. A closed-loop parameter learning approach, based on the decorrelation learning rule, is also developed to efficiently estimate the coefficients of the nonlinear cancellation filter in the presence of a nonlinear PA with memory, finite passive isolation, and a nonlinear LNA. The performance of the proposed cancellation technique is evaluated through comprehensive RF measurements adopting commercial LTE-Advanced transceiver hardware components. The results show that the proposed technique can provide an additional suppression of up to 54 dB for the TX passband leakage signal at the LNA input, even at very high transmit power levels and with wide transmission bandwidths. Such a novel cancellation solution can, therefore, substantially improve the TX-RX isolation, hence reducing the requirements on passive isolation and RF component linearity, as well as increasing the efficiency and flexibility of the RF spectrum use in the emerging 5G radio networks.

KW - 5G

KW - adaptive cancellation

KW - Baseband

KW - carrier aggregation (CA)

KW - Couplings

KW - duplexer isolation

KW - flexible duplexing

KW - frequency division duplexing

KW - in-band full duplex (IBFD)

KW - least-mean squares (LMS)

KW - LTE-Advanced

KW - Nonlinear distortion

KW - nonlinear distortion

KW - Passband

KW - Radio frequency

KW - radio frequency (RF) cancellation

KW - Radio transceivers

KW - self-interference (SI)

KW - transmitter (TX) leakage signal.

UR - http://www.scopus.com/inward/record.url?scp=85041175532&partnerID=8YFLogxK

U2 - 10.1109/TMTT.2017.2786729

DO - 10.1109/TMTT.2017.2786729

M3 - Article

AN - SCOPUS:85041175532

VL - 66

SP - 2299

EP - 2312

JO - IEEE Transactions on Microwave Theory and Techniques

JF - IEEE Transactions on Microwave Theory and Techniques

SN - 0018-9480

IS - 5

ER -

ID: 17539425