Mixed-Signal Based Enhanced Widely Linear Cancellation of Modulated Spur Interference in LTE-CA Transceivers

Ram Sunil Kanumalli, Ahmed S Elmaghraby, Andreas Gebhard, Christian Motz, Thomas Paireder, Christina Auer, Mario Huemer

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

Abstract

The implementation of carrier aggregation (CA) in cellular handsets leads to the generation of several unwanted spurs in the radio frequency (RF) transceiver chip. In frequency division duplex (FDD) mode this may lead to the down-conversion of the transmit (TX) leakage signal in one of the receivers creating a so-called modulated spur interference. Such interference can severely degrade the receive (RX) performance when the handset is operating in a cell edge scenario. A recently proposed mixed signal cancellation technique suggests to sense the TX leakage signal using an auxiliary receiver. When IQ-imbalance is present in the auxiliary path, the obtained reference signal, which serves as input for the digital modulated spur cancellation, is contaminated by its sectral image component. This limits the cancellation performance of a classical widely linear architecture targeting the cancellation of the main and image modulated spur. In this paper, we propose an enhanced widely linear cancellation architecture, which significantly improves the cancellation performance by digitally suppressing the image component in the reference signal. The performance of the cancellation architecture is verified by means of system simulations.
Original languageEnglish
Title of host publicationProceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2018)
PublisherIEEE
Pages1382-1388
Number of pages7
ISBN (Print)978-1-5386-9218-9
DOIs
Publication statusPublished - Oct 2018

Fields of science

  • 202017 Embedded systems
  • 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

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