Particle filter based nonlinear data detection for frequency selective mm-Wave MIMO-OFDM systems

Preety Priya, Debarati Sen

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

2 Citations (Scopus)

Abstract

Millimeter wave (mm-Wave) frequency band combined with multiple-input-multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) is a key enabler for fifth generation (5G) technology. However, the requirement of high power emission at the mm-Wave transmitter to combat the significant path loss, the enormous bandwidth, and the high frequency design limitations of the integrated circuits involved in mm-Wave systems, result in severe nonlinear distortion in the signals attributed by the RF power amplifier (PA) and other RF circuits. This nonlinear distortion causes non-orthogonality in OFDM subcarriers which in collusion with frequency selective channel may pose great challenges to signal detection. In this paper, we propose an efficient technique for channel estimation and data detection in the presence of nonlinear distortion for mm-Wave MIMO-OFDM systems. The nonlinear impairment causes the posterior distribution of data symbols as non-Gaussian and analytically intractable. To tackle it, an iterative algorithm based on particle filter (PF) for data detection is designed. The detected symbols are then used to estimate and update the channel gains using a sequential maximum likelihood (SQML) estimation. Simulation results validate the proposed algorithm.

Original languageEnglish
Title of host publication2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall) - Proceedings
EditorsJames Irvine
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1067-1072
Number of pages6
ISBN (Electronic)9781728194844
ISBN (Print)9781728194851
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventIEEE Vehicular Technology Conference 2020 (Fall) - Online, Victoria, Canada
Duration: 4 Oct 20207 Oct 2020
Conference number: 92nd
https://ieeexplore.ieee.org/xpl/conhome/9348428/proceeding (Proceedings)
https://events.vtsociety.org/vtc2020-fall/ (Website)

Publication series

NameIEEE Vehicular Technology Conference
PublisherIEEE, Institute of Electrical and Electronics Engineers
Volume2020-November
ISSN (Print)1550-2252
ISSN (Electronic)2577-2465

Conference

ConferenceIEEE Vehicular Technology Conference 2020 (Fall)
Abbreviated titleVTC 2020-Fall
Country/TerritoryCanada
CityVictoria
Period4/10/207/10/20
Internet address

Keywords

  • mm-Wave MIMO-OFDM
  • nonlinear data detection
  • nonlinear power amplifier
  • particle filter
  • sequential maximum likelihood estimation

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