Nonlinear Least-Mean-Squares Type Algorithm for Second-Order Interference Cancellation in LTE-A RF Transceivers

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

In frequency division duplex transceivers, the limited transmitter-to-receiver duplexer stop-band isolation causes a leakage signal from the transmitter into the receiver. In combination with a finite second-order input intercept point (IIP2), this leads to a second-order intermodulation distortion (IMD2) selfinterference in direct conversion architectures which desensitizes the receiver. This IMD2 interference always falls directly into the baseband independent of the frequency offset between transmitter and receiver. In this contribution a nonlinear least-meansquares type adaptive filter to cancel the transmitter induced IMD2 self-interference is developed which is suitable for highly frequency-selective duplexer stop-bands. The proposed solution outperforms existing adaptive Volterra kernel based algorithms despite its low computational complexity.
Original languageEnglish
Title of host publicationProceedings of the ASILOMAR Conference on Signals, Systems, and Computers
EditorsMichael B. Matthews
PublisherIEEE
Pages802-807
Number of pages6
ISBN (Electronic)9781538618233
ISBN (Print)978-1-5386-1823-3
DOIs
Publication statusPublished - Oct 2017

Fields of science

  • 202036 Sensor systems
  • 202040 Transmission technology
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202015 Electronics
  • 202022 Information technology
  • 202023 Integrated circuits
  • 202028 Microelectronics
  • 202030 Communication engineering
  • 202037 Signal processing

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Mechatronics and Information Processing

Cite this