26 GHz OFDM and 77 GHz FMCW Radar Dataset for Domain Shift Invariant Blockage Prediction

B.R.D. van Berlo, Yang Miao, Rizqi Hersyandika, Ben Willetts, Kai Mao, Amin Zare, Sofie Pollin, Nirvana Meratnia

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

Abstract

This paper presents a novel millimeter wave communication (comms) and radar sensing co-existing dataset. The measurement campaign was performed for blockage prediction with diverse human activities. 26 GHz Orthogonal Frequency Division Multiplexing (OFDM) multi-beam communication testbed and 77 GHz Frequency-Modulated Continuous-Wave (FMCW) multiple input, multiple output (MIMO) radar multi-monostatic set-up were configured. The corresponding bistatic channel state information and multi-monostatic backscattered channels are pre-processed for preliminary domain shift analysis by means of visual pre-processed sample inspection. Domain shift inside a blockage prediction model occurs when measurement circumstances under which model training data was collected significantly differ from the model inference measurement circumstances. Domain shifts cause model performance deterioration in the inference phase. No previous millimeter wave blockage prediction research considers mitigating domain shift in prediction models. We argue that this is caused by no millimeter wave blockage prediction datasets being available with samples collected under a large number of different measurement circumstances. Analysis results indicate presence of different signature presence levels in preprocessed radar backscattered channel samples and different doppler bin energy magnitudes and locations in pre-processed OFDM testbed channel state information samples captured under varying measurement circumstances. Therefore, creating a large enough blockage prediction dataset with samples captured under varying measurement circumstances that induce hard enough domain shifts between model train and inference situations is important to allow model domain shift mitigation research.
Original languageEnglish
Title of host publicationInternational Symposium on Joint Communications & Sensing (JC&S) Proceedings
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)979-8-3503-4568-1
ISBN (Print)979-8-3503-4569-8
DOIs
Publication statusPublished - 26 Apr 2023
EventInternational Symposium on Joint Communications & Sensing - Seefeld, Austria
Duration: 5 Mar 20237 Mar 2023
Conference number: 3

Conference

ConferenceInternational Symposium on Joint Communications & Sensing
Abbreviated titleJC&S
Country/TerritoryAustria
CitySeefeld
Period5/03/237/03/23

Keywords

  • Joint Communication and Sensing
  • Integrated Sensing and Communication
  • Human Blockage Prediction
  • Machine Learning
  • Domain Shift
  • Measurement Dataset

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