Calibrating a 4-channel Fully-Digital 60 GHz SDR

Aditya Dhananjay, Kai Zheng, Jaakko Haarla, Lorenzo Iotti, Marco Mezzavilla, Dennis Shasha, Sundeep Rangan

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

Abstract

The Pi-Radio v1 software-defined radio (SDR) features a 4-channel fully-digital transceiver board operating in the 57-64 GHz band; when mated with the Xilinx RFSoC-based ZCU111 board, this forms a powerful SDR that can be used by the research community. This paper describes the calibration procedures for the SDR, with a special emphasis on not relying on expensive laboratory equipment / infrastructure like a spectrum analyzer, signal generator, or even an anechoic chamber. We hope this is an interesting read for those interested in the pipeline from hardware design schematic to fully functional SDR.

Original languageEnglish (US)
Title of host publicationWiNTECH 2020 - Proceedings of the 14th ACM Workshop on Wireless Network Testbeds, Experimental evaluation and CHaracterization, Part of ACM MobiCom 2020
PublisherAssociation for Computing Machinery
Pages40-47
Number of pages8
ISBN (Electronic)9781450380829
DOIs
StatePublished - Sep 21 2020
Event14th ACM Workshop on Wireless Network, Testbeds, Experimental Evaluation and CHaracterization, WiNTECH 2020 - London, United Kingdom
Duration: Sep 25 2020Sep 25 2020

Publication series

NameWiNTECH 2020 - Proceedings of the 14th ACM Workshop on Wireless Network Testbeds, Experimental evaluation and CHaracterization, Part of ACM MobiCom 2020

Conference

Conference14th ACM Workshop on Wireless Network, Testbeds, Experimental Evaluation and CHaracterization, WiNTECH 2020
CountryUnited Kingdom
CityLondon
Period9/25/209/25/20

Keywords

  • SDR
  • beamforming
  • calibration
  • fully-digital
  • mmWave

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Calibrating a 4-channel Fully-Digital 60 GHz SDR'. Together they form a unique fingerprint.

Cite this