An On-Chip Analog Spectrum Analyzer Based on Miller Frequency Divider

Amin Hazrati Marangalou*, Santiago Sondon, Ajinkya Kale, Johannes Sturm, Michael Ernst Gadringer, Wolfgang Bösch

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

In this work, a novel on-chip spectrum analyzer architecture is proposed based on the principle of Miller regenerative frequency dividers. The integrated spectrum analyzer implementation is challenging due to the high Q on-chip filtering requirement and complex down-conversion architecture. The proposed architecture utilizes a frequency divider for second stage down-conversion without the need for external local oscillator signal, thus resulting in a less complex overall architecture. Moreover, thanks to the proposed architecture, the challenge of down-converting wideband modulated input signal in frequency divider architectures is alleviated. The proposed spectrum analyzer architecture is simulated for three test input signals from 2 GHz to 3 GHz with minimum frequency resolution of 1 MHz, input dynamic range of 40 dB and minimum signal level of 41 dBm. The radio frequency input signal is downconverted to 125 MHz at the analog output of the spectrum analyzer with the good Spurious-free dynamic range (SFDR) of 43 dB.
Originalspracheenglisch
TitelProceedings - 2020 Austrochip Workshop on Microelectronics, Austrochip 2020
Seiten90-94
Seitenumfang5
ISBN (elektronisch)978-1-7281-8493-7
DOIs
PublikationsstatusVeröffentlicht - 7 Okt. 2020
Veranstaltung28th Austrian Workshop on Microelectronics: AustroChip 2020 - TU Wien, Virtuell, Vienna, Österreich
Dauer: 7 Okt. 2020 → …
http://austrochip.emce.tuwien.ac.at/index.html
https://www.austrochip.at/

Workshop

Workshop28th Austrian Workshop on Microelectronics
KurztitelAustrochip 2020
Land/GebietÖsterreich
OrtVirtuell, Vienna
Zeitraum7/10/20 → …
Internetadresse

Schlagwörter

  • Miller
  • spectrum analyzer (SA)
  • dynamic measurements

ASJC Scopus subject areas

  • Elektrotechnik und Elektronik
  • Signalverarbeitung

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Experimental

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