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Accurate On-Chip Linearity Monitoring With Low-Quality Test Signal Generation

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

State-of-the-art radar sensors for automotive driving applications have to fulfill stringent requirements on reliability and functional safety. Therefore, monitoring concepts that cover various sensor parameters such as gain, phase, noise figure or phase-noise became an active field of research. Another essential sensor parameter is the receiver's linearity. A major design challenge for on-chip linearity testing is the generation of a spectrally pure test signal. In the past, this was mainly tackled by sophisticated analog design of the test signal generator (TSG), such that the overall complexity of the test circuitry was increased. In this work, we propose a monitoring concept that eliminates the need for a pure test signal. This enables accurate on-chip linearity testing by the use of a low-cost TSG. With an imprecise test signal, accurate testing can be achieved by exploiting the test signal generator's repeatability. By means that instead of injecting a spectrally pure test signal into the device under test (DUT), an imprecise test signal is injected multiple times, but each time scaled with a different properly chosen factor. With this, all impairments affecting the test signal before the analog scaling can be separated from nonlinear effects after the scaling by digital signal processing. Thus, the requirements on the analog test circuitry are heavily relaxed. Ultimately, we proof our concept by simulation as well as measurement results.
OriginalspracheEnglisch
TitelProceedings of the IEEE International Symposium on Circuits and Systems (ISCAS 2023)
VerlagIEEE
Seitenumfang5
ISBN (elektronisch)9781665451093
ISBN (Print)978-1-6654-5109-3
DOIs
PublikationsstatusVeröffentlicht - Mai 2023

Publikationsreihe

NameProceedings - IEEE International Symposium on Circuits and Systems
Band2023-May
ISSN (Print)0271-4310

Wissenschaftszweige

  • 202036 Sensorik
  • 202 Elektrotechnik, Elektronik, Informationstechnik
  • 202015 Elektronik
  • 202022 Informationstechnik
  • 202023 Integrierte Schaltkreise
  • 202028 Mikroelektronik
  • 202037 Signalverarbeitung

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