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Adaptive Distortion Inversion Technique for LNA's Nonlinearity Compensation in Direct RF Digitization Receivers

Vu, N.-A. and Le, H.-N. and Tran, T.-H.-T. and Hoang, V.-P. and Trinh, Q.-K. (2019) Adaptive Distortion Inversion Technique for LNA's Nonlinearity Compensation in Direct RF Digitization Receivers. In: 12th International Conference on Advanced Technologies for Communications, ATC 2019, 17 October 2019 through 19 October 2019.

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Abstract

This paper presents the analysis of the nonlinear distortion model of the Low Noise Amplifier (LNA) for multichannel direct RF digitization receivers (DRF-RX). The distortion model gives insights into the nature of the LNA distortions and is used as the fundamental ground for distortion compensation. The paper further presents a fully-digital solution using a reference channel accompanied by a least mean square (LMS) circuit for adaptive distortion compensation. The LMS circuit uses the information from the reference channel to invert the distortion impacts caused by the LNA's nonlinearity in the main channel and eventually recover the linear component. A direct RF digitization UHF receiver with 4-QPSK channels was implemented in Matlab to evaluate the proposed method's efficiency. The performance of the compensation circuits has been studied in detail. The simulation results show that the proposed solution greatly improves the receiver performance. Compared to the receiver without compensation, the compensation circuit helps to lower the distortion components by 20 dB and improve the bit error rate (BER) by 2 orders of magnitude. © 2019 IEEE.

Item Type: Conference or Workshop Item (Paper)
Divisions:
Faculties > Faculty of Radio-Electronic Engineering
Identification Number: 10.1109/ATC.2019.8924528
Uncontrolled Keywords: Bit error rate; Digital radio; Distortion (waves); Error compensation; MATLAB; Radio transceivers; Software radio; Digital receivers; LMS filter; Multi-channel receivers; RF digitizations; Software-defined radios; UHF transceiver; Low noise amplifiers
Additional Information: Conference code: 155872. Language of original document: English.
URI: http://eprints.lqdtu.edu.vn/id/eprint/9237

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