Application of Reconfigurable Computing to Acoustic Sensors

Abstract

A hybrid-computing architecture consisting of a general purpose digital signal processor (DSP) closely coupled to a field-programmable gate array serving as a reconfigurable processor has been demonstrated as having great utility to collect, process, and report data from a sensor node containing acoustic and possibly other sensors. The computing architecture for microsensors (CA(mu)S) was developed jointly by ARL and Sanders tinder the auspices of the Advanced Sensors FedLab Program. CA(mu)S was used to replace an existing PCI-based computer chassis in a data collection system restilting in a ten thousand-fold improvement in size x weight x power product. The processing load is split between the general purpose DSP and the reconfigurable processor to achieve these improved results. Although in this incarnation, reconfiguration on the fly was not implemented, this paper will discuss situations where this would be advantageous. The direction of reconfigurable computing for the near future will be outlined, especially with processing acoustic signals in an array of distributed sensors.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2000
Accession Number
ADA392216

Entities

People

  • Andree Filipov
  • Mark Falco

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detection
  • Acoustic Detectors
  • Acquisition
  • Algorithms
  • Application-Specific Integrated Circuits
  • Classification
  • Computations
  • Detection
  • Detectors
  • Diagrams
  • Energy Consumption
  • Field Programmable Gate Arrays
  • Frequency
  • Semiconductors
  • Sensor Networks
  • Signal Processing
  • Target Recognition

Readers

  • Parallel and Distributed Computing.
  • Sensor Fusion and Tracking Systems.