Rf compressed sensing radar based on digital beamforming for localization and iot applications

Prateek Nallabolu, Changzhi Li

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

Abstract

This paper presents the concept of a radio frequency (RF) compressed sensing radar for indoor localization. A digital beamforming architecture for RF physical layer compressed sensing is discussed. Compressed sensing can reconstruct an under-sampled signal provided it is sparse in nature. A pseudo random multi-beam radiation pattern will be used to scan the target frame. The spatial sparsity in the target frame helps in recovering the entire frame using less number of scans compared to the conventional indoor localization system.

Original languageEnglish
Title of host publication2019 International Applied Computational Electromagnetics Society Symposium in Miami, ACES-Miami 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780996007887
StatePublished - May 10 2019
Event2019 International Applied Computational Electromagnetics Society Symposium in Miami, ACES-Miami 2019 - Miami, United States
Duration: Apr 14 2019Apr 18 2019

Publication series

Name2019 International Applied Computational Electromagnetics Society Symposium in Miami, ACES-Miami 2019

Conference

Conference2019 International Applied Computational Electromagnetics Society Symposium in Miami, ACES-Miami 2019
Country/TerritoryUnited States
CityMiami
Period04/14/1904/18/19

Keywords

  • compressed sensing
  • pseudo random multi-beam radiation pattern
  • sparsity

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