Robust Low Complexity Digital Self Interference Cancellation for Multi Channel Full Duplex Systems

Shachar Shayovitz; Dan Raphaeli

doi:10.1109/SSP.2018.8450827

Robust Low Complexity Digital Self Interference Cancellation for Multi Channel Full Duplex Systems

Shachar Shayovitz, Dan Raphaeli

School of Electrical Engineering

Tel Aviv University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Self interference in a communications system occurs when there is electromagnetic coupling between the transmission (TX) and reception (RX) radio frequency (RF) chains or antennas. This coupling degrades the system's RX sensitivity to incoming signals. In this paper a low complexity technique for self interference cancellation in multi channel systems is presented. In this scenario, multiple carriers at overlapping arbitrary bandwidths and powers are simultaneously received and transmitted by the system. Traditional algorithms for self-interference mitigation based on Recursive Least Squares (RLS) and Least Mean Squares (LMS), fail to provide sufficient rejection since the incoming signal is not spectrally white, which is critical for their performance. The proposed algorithm mitigates the interference by modeling the incoming multi carrier signal as an Auto-Regressive (AR) process and jointly estimates the AR parameters and self interference. The resulting algorithm can be implemented using a low complexity architecture comprised of only two RLS modules. The main advantage of the proposed technique over RLS and LMS is the robustness to the spectrum of arbitrary incoming signals and improved rejection levels of over 10dB. All of this is achieved while not compromising on low latency constraints.

Original language	English
Title of host publication	2018 IEEE Statistical Signal Processing Workshop, SSP 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	21-25
Number of pages	5
ISBN (Print)	9781538615706
DOIs	https://doi.org/10.1109/SSP.2018.8450827
State	Published - 29 Aug 2018
Event	20th IEEE Statistical Signal Processing Workshop, SSP 2018 - Freiburg im Breisgau, Germany Duration: 10 Jun 2018 → 13 Jun 2018

Publication series

Name	2018 IEEE Statistical Signal Processing Workshop, SSP 2018

Conference

Conference	20th IEEE Statistical Signal Processing Workshop, SSP 2018
Country/Territory	Germany
City	Freiburg im Breisgau
Period	10/06/18 → 13/06/18

All Science Journal Classification (ASJC) codes

Signal Processing
Instrumentation
Computer Networks and Communications

Access to Document

10.1109/SSP.2018.8450827

Cite this

Shayovitz, S., & Raphaeli, D. (2018). Robust Low Complexity Digital Self Interference Cancellation for Multi Channel Full Duplex Systems. In 2018 IEEE Statistical Signal Processing Workshop, SSP 2018 (pp. 21-25). Article 8450827 (2018 IEEE Statistical Signal Processing Workshop, SSP 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSP.2018.8450827

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title = "Robust Low Complexity Digital Self Interference Cancellation for Multi Channel Full Duplex Systems",

abstract = "Self interference in a communications system occurs when there is electromagnetic coupling between the transmission (TX) and reception (RX) radio frequency (RF) chains or antennas. This coupling degrades the system's RX sensitivity to incoming signals. In this paper a low complexity technique for self interference cancellation in multi channel systems is presented. In this scenario, multiple carriers at overlapping arbitrary bandwidths and powers are simultaneously received and transmitted by the system. Traditional algorithms for self-interference mitigation based on Recursive Least Squares (RLS) and Least Mean Squares (LMS), fail to provide sufficient rejection since the incoming signal is not spectrally white, which is critical for their performance. The proposed algorithm mitigates the interference by modeling the incoming multi carrier signal as an Auto-Regressive (AR) process and jointly estimates the AR parameters and self interference. The resulting algorithm can be implemented using a low complexity architecture comprised of only two RLS modules. The main advantage of the proposed technique over RLS and LMS is the robustness to the spectrum of arbitrary incoming signals and improved rejection levels of over 10dB. All of this is achieved while not compromising on low latency constraints.",

author = "Shachar Shayovitz and Dan Raphaeli",

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year = "2018",

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doi = "10.1109/SSP.2018.8450827",

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Shayovitz, S & Raphaeli, D 2018, Robust Low Complexity Digital Self Interference Cancellation for Multi Channel Full Duplex Systems. in 2018 IEEE Statistical Signal Processing Workshop, SSP 2018., 8450827, 2018 IEEE Statistical Signal Processing Workshop, SSP 2018, Institute of Electrical and Electronics Engineers Inc., pp. 21-25, 20th IEEE Statistical Signal Processing Workshop, SSP 2018, Freiburg im Breisgau, Germany, 10/06/18. https://doi.org/10.1109/SSP.2018.8450827

Robust Low Complexity Digital Self Interference Cancellation for Multi Channel Full Duplex Systems. / Shayovitz, Shachar; Raphaeli, Dan.
2018 IEEE Statistical Signal Processing Workshop, SSP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 21-25 8450827 (2018 IEEE Statistical Signal Processing Workshop, SSP 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Raphaeli, Dan

PY - 2018/8/29

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N2 - Self interference in a communications system occurs when there is electromagnetic coupling between the transmission (TX) and reception (RX) radio frequency (RF) chains or antennas. This coupling degrades the system's RX sensitivity to incoming signals. In this paper a low complexity technique for self interference cancellation in multi channel systems is presented. In this scenario, multiple carriers at overlapping arbitrary bandwidths and powers are simultaneously received and transmitted by the system. Traditional algorithms for self-interference mitigation based on Recursive Least Squares (RLS) and Least Mean Squares (LMS), fail to provide sufficient rejection since the incoming signal is not spectrally white, which is critical for their performance. The proposed algorithm mitigates the interference by modeling the incoming multi carrier signal as an Auto-Regressive (AR) process and jointly estimates the AR parameters and self interference. The resulting algorithm can be implemented using a low complexity architecture comprised of only two RLS modules. The main advantage of the proposed technique over RLS and LMS is the robustness to the spectrum of arbitrary incoming signals and improved rejection levels of over 10dB. All of this is achieved while not compromising on low latency constraints.

AB - Self interference in a communications system occurs when there is electromagnetic coupling between the transmission (TX) and reception (RX) radio frequency (RF) chains or antennas. This coupling degrades the system's RX sensitivity to incoming signals. In this paper a low complexity technique for self interference cancellation in multi channel systems is presented. In this scenario, multiple carriers at overlapping arbitrary bandwidths and powers are simultaneously received and transmitted by the system. Traditional algorithms for self-interference mitigation based on Recursive Least Squares (RLS) and Least Mean Squares (LMS), fail to provide sufficient rejection since the incoming signal is not spectrally white, which is critical for their performance. The proposed algorithm mitigates the interference by modeling the incoming multi carrier signal as an Auto-Regressive (AR) process and jointly estimates the AR parameters and self interference. The resulting algorithm can be implemented using a low complexity architecture comprised of only two RLS modules. The main advantage of the proposed technique over RLS and LMS is the robustness to the spectrum of arbitrary incoming signals and improved rejection levels of over 10dB. All of this is achieved while not compromising on low latency constraints.

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ER -

Robust Low Complexity Digital Self Interference Cancellation for Multi Channel Full Duplex Systems

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