On the Effect of a Bias Error in the Adaptive LMS Algorithm.

Abstract

A basic assumption in the derivation of the adaptive beamformer LMS algorithm is that the input sample vector is of zero mean. In the actual hardware implementation of this algorithm, bias errors can be encountered due to system electronics. For example, if the beamformer is operated for a considerable length of time, then a small bias in a nominally even a/d quantizer can seemingly cause erroneous algorithm convergence with respect to the expected zero mean system input. This memorandum considers some of the elemental aspects of such biasing errors.

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Document Details

Document Type
Technical Report
Publication Date
Apr 07, 1970
Accession Number
ADA060236

Entities

People

  • Norman L. Owsley

Organizations

  • Navy Underwater Sound Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Convergence
  • Electronics
  • Engineers
  • Equations
  • Standards
  • Steering
  • Underwater Sound

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Operations Research
  • Radar Systems Engineering.

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems