The Effect of Quantization on the Dynamic Range of Adaptive Processors,

Abstract

In many adaptive array designs the adaptive algorithm is implemented digitally and the element weighting is quantized. The error incurred when quantizing element weights gives rise to a degradation in the dynamic range performance of an adaptive processor. This phenomenon was studied with an experimental adaptive array that implements the least mean square (LMS) algorithm. Quantization effects on the dynamic range of the adaptive processor were measured, and a theoretical relationship between quantization and dynamic range is formulated. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1985
Accession Number
ADP004622

Entities

People

  • A. R. Cherrette
  • D. C. D. Chang
  • J. F. O'connor

Organizations

  • Hughes Aircraft Company

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Continents
  • Degradation
  • Dynamic Range
  • Geographic Regions
  • Illinois
  • Mathematics

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Phased Array Antenna Design.