An Augmented Nonlinear LMS for Digital Self-Interference Cancellation in Full-Duplex Direct-Conversion Transceivers
File(s)FINAL_VERSION.pdf (931.12 KB)
Accepted version
Author(s)
Li, Z
Xia, Y
Pei, W
Wang, K
Mandic, D
Type
Journal Article
Abstract
In future full-duplex communications, the cancellation of self-interference (SI) arising from hardware nonidealities will play an important role in the design of mobile-scale devices. To this end, we introduce an optimal digital SI cancellation solution for shared-antenna-based direct-conversion transceivers. To establish that the underlying widely linear signal model is not adequate for strong transmit signals, the impact of various circuit imperfections, including power amplifier distortion, frequency-dependent I/Q imbalance, quantization noise, and thermal noise, on the performance of the conventional augmented least mean square (LMS) based SI canceller, is analyzed. In order to achieve a sufficient signal-to-interference-plus-noise ratio when the nonlinear SI components are not negligible, we propose an augmented nonlinear LMS based SI canceller for a joint cancellation of both the linear and nonlinear SI components by virtue of a widely nonlinear model fit. A rigorous mean and mean square performance evaluation is conducted to justify the performance advantages of the proposed scheme over the conventional augmented LMS solution. Simulations on orthogonal frequency division multiplexing-based wireless local area network standard compliant waveforms support the analysis.
Date Issued
2018-06-14
Date Acceptance
2018-06-03
Citation
IEEE Transactions on Signal Processing, 2018, 66 (15), pp.4065-4078
ISSN
1053-587X
Publisher
IEEE
Start Page
4065
End Page
4078
Journal / Book Title
IEEE Transactions on Signal Processing
Volume
66
Issue
15
Copyright Statement
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects
MD Multidisciplinary
Networking & Telecommunications
Publication Status
Published online
Date Publish Online
2018-06-14