Low-Complexity Iterative Receiver for Orthogonal Chirp Division Multiplexing

Roberto Bomfin, Marwa Chafii, Gerhard Fettweis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a low-complexity iterative receiver for the recently proposed Orthogonal Chirp Division Multiplexing (OCDM) modulation scheme, where we consider a system under frequency-selective channels and constrained to channel state information availability only at the receiver. It has been shown that under these assumptions, OCDM becomes an optimal waveform in terms of performance, i.e., frame error rate (FER), when employing a receiver capable of achieving perfect feedback equalizer (PFE) performance. Thus, this work targets proposing such a receiver for OCDM with low-complexity. Our approach is based on the well accepted minimum mean squared error with parallel interference cancellation (MMSE-PIC), where we derive an approximated equalizer whose complexity is reduced to two fast Fourier transforms (FFTs) per iteration. The FER results reveal that i) the proposed low-complexity receiver performs as good as the original MMSE-PIC, ii) OCDM performs very closely to PFE, and iii) OCDM has approximately 2 dB improvement over OFDM.

Original languageEnglish (US)
Title of host publication2019 IEEE Wireless Communications and Networking Conference Workshop, WCNCW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728109220
DOIs
StatePublished - Apr 2019
Event2019 IEEE Wireless Communications and Networking Conference Workshop, WCNCW 2019 - Marrakech, Morocco
Duration: Apr 15 2019Apr 18 2019

Publication series

Name2019 IEEE Wireless Communications and Networking Conference Workshop, WCNCW 2019

Conference

Conference2019 IEEE Wireless Communications and Networking Conference Workshop, WCNCW 2019
Country/TerritoryMorocco
CityMarrakech
Period4/15/194/18/19

Keywords

  • MMSE-PIC
  • OCDM
  • frequency-selective channel
  • iterative receiver

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Safety, Risk, Reliability and Quality

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