Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Digitally Assisted Adaptive Non-Linearity Suppression Scheme for RF front ends

Författare

Summary, in English

This paper presents a robust and low-complexity non-linearity suppression scheme for radio frequency (RF) transceiver building blocks to efficiently mitigate intermodulation distortion. The scheme consists of tunable RF components assisted by an auxiliary path equipped with an adaptive digital signal processing algorithm to provide the tuning control. This proposed concept of digitally-assisted tuning is capable of handling a large range of non-linear behaviours without any complexity increase in the expensive RF circuitry and is robust to process, voltage and temperature variations. A case study on the third order intermodulation of the channel select filter for a full 10 MHz Long Term Evolution (LTE) reception bandwidth is used to demonstrate the feasibility and effectiveness of the technique.

Publiceringsår

2015

Språk

Engelska

Publikation/Tidskrift/Serie

2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Electrical Engineering, Electronic Engineering, Information Engineering

Nyckelord

  • Intermodulation distortion
  • Adaptive signal processing
  • Interference cancellation
  • Nonlinear circuits

Conference name

IEEE 25th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2014

Conference date

2014-09-02 - 2014-09-05

Conference place

Washington DC, United States

Status

Published

Projekt

  • EIT_DARE Digitally-Assisted Radio Evolution

Forskningsgrupp

  • Digital ASIC

ISBN/ISSN/Övrigt

  • ISBN: 978-1-4799-4912-0