Development of Parallel Architectures for Sensor Array Processing Algorithms.

Abstract

The high resolution direction of arrival (DOA) estimation has been an important area of research for a number of years. Many researchers have developed a variety of algorithms to estimate the direction of arrival. Another important aspect of the DOA estimation area is the development of high speed hardware capable of computing the DOA in real time. In this research we have first focussed on the development of parallel architecture for multiple signal classification (MUSIC) and estimation os signal parameters by rotational invariance technique (ESPRIT) algorithms for the narrow band sources. These algorithms are substituted with computationally efficient modules and converted to pipelined and parallel algorithms. For example one important computation of eigendecomposition of the covariance matrix has been performed using Householders transformations and QR method.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1991
Accession Number
ADA240869

Entities

People

  • Abdelhamid Djoudi
  • M. M. Jamali
  • Manoj Rao
  • Rajesh Sheelvant
  • S. C. Kwatra

Organizations

  • University of Toledo

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Angle Of Arrival
  • Broadband
  • Computers
  • Coordinate Systems
  • Decomposition
  • Eigenvalues
  • Electrical Engineering
  • Frequency
  • Frequency Bands
  • High Resolution
  • Literature
  • Measurement
  • Parallel Computing
  • Parallel Processing
  • Signal Processing

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Linear Algebra
  • Parallel and Distributed Computing.