Robust Direction Finding

Abstract

This work considers the problem of estimating directions of arrival (DOAs) from sensor-array data when the positions of the sensors are not precisely known. The proposed algorithm is an extension of a previously developed approach based on weighted subspace fitting. The new algorithm shows improved robustness with respect to sensor position perturbations, particularly when estimating the DOAs of weak sources. The robust algorithm treats the sensor position perturbations as unknown deterministic parameters and estimates them jointly with the DOAs. The distances between each sensor in the perturbed array were constrained to equal their nominal values. The algorithm adds one source at a time to the model until the amplitude of an identified source is below a threshold. For each source added to the model, the algorithm performs a one-dimensional grid searches followed by multidimensional optimization over a small region of parameter space. This method is effective for estimating a large number of parameters.

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Document Details

Document Type
Technical Report
Publication Date
Mar 06, 2006
Accession Number
ADA444712

Entities

People

  • Richard J Vaccaro

Organizations

  • University of Rhode Island

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Angle Of Arrival
  • Arrays
  • Department Of Defense
  • Direction Finding
  • Equations
  • Frequency
  • Grids
  • Information Operations
  • Linear Arrays
  • Mathematical Analysis
  • Optimization
  • Perturbations
  • Random Variables
  • Rhode Island
  • Simulations
  • Two Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Operations Research

Technology Areas

  • Space
  • Space - Space Objects