Advertisement

EURASIP Journal on Embedded Systems

, 2010:945646 | Cite as

A Mixed-Signal Embedded Platform for Automotive Sensor Conditioning

  • Emilio VolpiEmail author
  • Luca Fanucci
  • Adolfo Giambastiani
  • Alessandro Rocchi
  • Francesco D'Ascoli
  • Marco Tonarelli
  • Massimiliano Melani
  • Corrado Marino
Open Access
Research Article
Part of the following topical collections:
  1. Design Methodologies and Innovative Architectures for Mixed-Signal Embedded Systems

Abstract

A mixed-signal embedded system called Intelligent Sensor InterFace (ISIF) suited to fast identify, trim, and verify an architecture to interface a given sensor is presented. This system has been developed according to a platform-based design approach, a methodology that has proved to be efficient for building complex mixed-signal embedded systems with short time-to-market. Such platform consists in a wide set of optimized high-performance analog, digital, and software intellectual property (IP) modules for various kinds of sensors. These IPs can be easily defined for fast prototyping of the interface circuit for the given sensor. Final ASIC implementation for the given sensor conditioning can be easily derived with reduced risk and short development time. Some case examples are presented to demonstrate the effectiveness and flexibility of this system.

Keywords

Development Time Intellectual Property Control Structure Design Approach Embed System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Publisher note

To access the full article, please see PDF.

Copyright information

© Emilio Volpi et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Authors and Affiliations

  • Emilio Volpi
    • 1
    Email author
  • Luca Fanucci
    • 1
  • Adolfo Giambastiani
    • 2
  • Alessandro Rocchi
    • 2
  • Francesco D'Ascoli
    • 2
  • Marco Tonarelli
    • 2
  • Massimiliano Melani
    • 2
  • Corrado Marino
    • 2
  1. 1.Department of Information EngineeringUniversity of PisaPisaItaly
  2. 2.SensorDynamics AGNavacchio (Pisa)Italy

Personalised recommendations