Development of Parallel Architectures for Sensor Array Processing. Volume 1

Abstract

The high resolution direction-of-arrival (DOA) estimation is important in many sensor systems. It is based on the processing of the received signal and extracting the desired parameters of the DOA of plane waves. Many approaches have been used for the purpose of implementing the function required for the DOA estimation. The Multiple Signal Classification (MUSIC) and the Estimation of Signal Parameters by Rotational Invariance techniques (ESPRIT) algorithms are two novel approaches used recently to provide asymptotically unbiased and efficient estimates of the DOA. They are believed to be promising and appropriate for hardware implementation for real time applications. They estimate the so called signal subspace from the array measurements. The parameters of interest (i.e. determining of the DOA) are then estimated from the intersection between the array manifold and the estimated subspace

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1993
Accession Number
ADA270426

Entities

People

  • M. M. Jamali
  • S. C. Kwatra

Organizations

  • University of Toledo

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Angle Of Arrival
  • Bandwidth
  • Communication Systems
  • Computational Complexity
  • Computer Programming
  • Computers
  • Electrical Engineering
  • Frequency
  • Frequency Division Multiple Access
  • High Resolution
  • Multiple Access
  • Parallel Computing
  • Parallel Processing
  • Plane Waves
  • Signal Processing
  • Very Large Scale Integration

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Graph Algorithms and Convex Optimization.
  • Phased Array Antenna Design.