The Bootstrapped Algorithm: A Fast Algorithm for Blind Signal Separation

Abstract

The bootstrapped algorithm was introduced in the previous report. RL- TR-93-24, dated April 1993. Their different structures were proposed and shown to be suitable for blind signal separation and interference cancellation. It was demonstrated that the speed of convergence of these algorithms is much faster than other algorithms. Unlike other algorithms. the speed of convergence does not depend on the signals' power ratios and. hence, does not depend on the eigenvalue spread of the input correlation matrix. Further studies of these algorithms are reported in this section, which includes questions related to bandwidth, complexity, and dynamic studies for real-time control. Also reported are studies of spatial separation and direction-of-arrival estimation of wideband signals as well as application of the algorithm for broadband interference cancellation. Some preliminary results on applications to the blind decision feedback equalizer and separation of CDMA signals are also included. Algorithm, Signal processing, Interference cancellation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1993
Accession Number
ADA275759

Entities

People

  • Abdulkadir Dinc
  • Hagit Messer-yaron
  • Raafat Kamel
  • Ruth Onn
  • Yeheskel Bar-ness
  • Zoran Siveski

Organizations

  • New Jersey Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Angle Of Arrival
  • Bandwidth
  • Code Division Multiple Access
  • Communication Channels
  • Computational Science
  • Control Systems
  • Differential Equations
  • Digital Communications
  • Frequency Bands
  • Multiple Access
  • Plastic Explosives
  • Radio Equipment
  • Random Variables
  • Satellite Communications
  • Signal Processing
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Linear Algebra
  • Radar Systems Engineering.
  • Radio communications and signal processing.