An ESPRIT Algorithm for Tracking Time-Varying Signals

Abstract

ESPRIT is a successful algorithm for determining the constant directions of arrival of a set of narrowband signals on an array of sensors. Unfortunately, its computational burden makes it unsuitable for real time processing of signals with time-varying directions of arrival. In this work we develop a new implementation of ESPRIT that has potential for real time processing. It is based on a rank-revealing URV decomposition, rather than the eigendecomposition or singular value decomposition used in previous ESPRIT algorithms. We demonstrate its performance on simulated data representing both constant and time-varying signals. We find that the URV-based ESPRIT algorithm (total least squares variant) is effective for time-varying directions-of- arrival using either rectangular or exponential windowing techniques to diminish the effects of old information.

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Document Details

Document Type
Technical Report
Publication Date
Apr 24, 1992
Accession Number
ADA445553

Entities

People

  • Dianne P. O'leary
  • Gilbert W. Stewart
  • K. J. Ray Liu
  • Yuan-jye Wu

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Availability
  • Classification
  • Contracts
  • Decomposition
  • Information Operations
  • Instructions
  • Maryland
  • Monitoring
  • Narrowband
  • Security
  • Standards
  • Universities

Fields of Study

  • Engineering

Readers

  • Linear Algebra
  • Military Leadership and Professional Education.
  • Radio communications and signal processing.