A Reconfigurable Computing Architecture for Microsensors

Abstract

Users desire microsensors that support reconnaissance, surveillance and target acquisition (RSTA) operations. Typically, the communications bandwidth on these microsensors limits the amount of data that can be transmitted. Therefore, much of the signal processing must be performed within the aggressive size, power, and weight constraints of the microsensor. Furthermore, these microsensors need to be inexpensive and have a very small logistics tail. Low-power ASIC technology can address the performance and power issues but may not be reusable over a wide range of applications. Programmable processors (DSPs, and Microprocessors) may provide the flexibility but not necessarily the performance. A new paradigm is sought to provide low-power, high-performance, reprogrammable computing. To ensure low expense, a common and open architecture should be developed. This will allow the cost to be shared among the widest range of applications possible while allowing for technology upgrades. This paper describes the development of a computing architecture which uses a general purpose processor combined with field programmable gate array technology (FPGA) that can be used to accelerate a range of microsensor applications. We have demonstrated two orders of magnitude reduction in size, weight, and power over an existing Army Research Laboratory testbed.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1999
Accession Number
ADA390205

Entities

People

  • Andree Filipov
  • Brent Nelson
  • Mark Falco
  • Nino Srour
  • Stephen Scalera

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Arrays
  • Algorithms
  • Application-Specific Integrated Circuits
  • Circuits
  • Complementary Metal-Oxide Semiconductors
  • Computations
  • Computer Programming
  • Computing System Architectures
  • Detection
  • Detectors
  • Diagrams
  • Digital Signal Processing
  • Field Programmable Gate Arrays
  • Integrated Circuits
  • Micro Air Vehicles
  • Semiconductors
  • Signal Processing

Readers

  • Integrated Circuit Design and Technology.
  • Parallel and Distributed Computing.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.