Avalanche noise in magnetic field tunable avalanche transit time device

Partha Banerjee, Qing Hao, Arindam Biswas, A. K. Bhattacharjee, Aritra Acharyya

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

2 Scopus citations

Abstract

Influences of magnetic field on the noise performance of double-drift region (DDR) impact avalanche transit time (IMPATT) device based on Si designed to operate within W-band (75-110 GHz) have been studied in this paper. The reverse biased DDR IMPATT structure under transverse magnetic field can be regarded as magnetic field tunable avalanche transit time (MAGTATT) device. The simulation results show that both the noise spectral density and noise measure of the device increase significantly while the device is kept in transverse magnetic field. This degradation of the noise performance of the device enhances when the magnitude of the magnetic field is increased. Therefore, in order to achieve the magnetic field tuning of the RF properties of DDR IMPATTs as reported earlier by the authors, the noise performance of the source has to be sacrificed in fair extent.

Original languageEnglish (US)
Title of host publication2016 International Conference on Computer, Electrical and Communication Engineering, ICCECE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509044320
DOIs
StatePublished - Aug 11 2017
Event2016 International Conference on Computer, Electrical and Communication Engineering, ICCECE 2016 - Kolkata, India
Duration: Dec 16 2016Dec 17 2016

Publication series

Name2016 International Conference on Computer, Electrical and Communication Engineering, ICCECE 2016

Other

Other2016 International Conference on Computer, Electrical and Communication Engineering, ICCECE 2016
Country/TerritoryIndia
CityKolkata
Period12/16/1612/17/16

Keywords

  • MAGTATT
  • Noise Measure
  • Noise Spectral Density
  • sensitivity
  • transverse magnetic field

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation

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