Total reliability of radar systems: Incorporating component degradation effects in operational reliability

Tyler D. Ridder, Ram Mohan Narayanan

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

Abstract

Operational reliability has been shown to be a useful measure of the effectiveness of a radar's detection algorithm in a specific operational scenario. Operational reliability transforms traditional detection theory parameters into a metric that can be combined with component reliability, thus setting the foundation for the formulation of a radar's total reliability. Component reliability can be divided into two main areas of study: lifetime prediction and degradation characterization. The former focuses on the component's mean-time-to- failure (MTTF), while the latter investigates the slow decrease of a component's performance throughout its lifetime until the component eventually fails. In this paper, we explore the degradation of common radio frequency (RF) components that are used in a radar system. The degradation of the components is then used in conjunction with the radar's operational reliability to develop a model for the overall reliability of a radar system.

Original languageEnglish (US)
Title of host publicationRadar Sensor Technology XXIII
EditorsKenneth I. Ranney, Armin Doerry
PublisherSPIE
ISBN (Electronic)9781510626713
DOIs
StatePublished - Jan 1 2019
EventRadar Sensor Technology XXIII 2019 - Baltimore, United States
Duration: Apr 15 2019Apr 17 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11003
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceRadar Sensor Technology XXIII 2019
CountryUnited States
CityBaltimore
Period4/15/194/17/19

Fingerprint

Radar systems
Radar
radar
Degradation
degradation
component reliability
radar detection
life (durability)
Lifetime
Mean Time to Failure
radio frequencies
formulations
predictions
Transform
Metric
Decrease
Scenarios
Formulation
Prediction

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Ridder, T. D., & Narayanan, R. M. (2019). Total reliability of radar systems: Incorporating component degradation effects in operational reliability. In K. I. Ranney, & A. Doerry (Eds.), Radar Sensor Technology XXIII [110030Y] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11003). SPIE. https://doi.org/10.1117/12.2519725
Ridder, Tyler D. ; Narayanan, Ram Mohan. / Total reliability of radar systems : Incorporating component degradation effects in operational reliability. Radar Sensor Technology XXIII. editor / Kenneth I. Ranney ; Armin Doerry. SPIE, 2019. (Proceedings of SPIE - The International Society for Optical Engineering).
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Ridder, TD & Narayanan, RM 2019, Total reliability of radar systems: Incorporating component degradation effects in operational reliability. in KI Ranney & A Doerry (eds), Radar Sensor Technology XXIII., 110030Y, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11003, SPIE, Radar Sensor Technology XXIII 2019, Baltimore, United States, 4/15/19. https://doi.org/10.1117/12.2519725

Total reliability of radar systems : Incorporating component degradation effects in operational reliability. / Ridder, Tyler D.; Narayanan, Ram Mohan.

Radar Sensor Technology XXIII. ed. / Kenneth I. Ranney; Armin Doerry. SPIE, 2019. 110030Y (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11003).

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

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Ridder TD, Narayanan RM. Total reliability of radar systems: Incorporating component degradation effects in operational reliability. In Ranney KI, Doerry A, editors, Radar Sensor Technology XXIII. SPIE. 2019. 110030Y. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2519725