Linear Interference Suppression and Pulse Optimization for DS-CDMA

Abstract

This project is concerned with the applicability of adaptive linear interference suppression for DS-CDMA in a peer-to-peer network. This technique is robust with respect to extreme near-far power variations. The following topics have been studied: (1) performance in the presence of time- and frequency-selective fading, (2) reduced-rank methods for faster convergence and tracking, (3) adaptive transmitter preprocessing for interference avoidance, (4) combined coding and interference suppression, and (5) performance in the presence of mixed rate traffic. Overall, our results indicate that adaptive linear interference suppression can be made robust with respect to time-varying channels and interference. Algorithmic enhancements which improve upon the performance in a dynamically changing environment have been proposed and evaluated.

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Document Details

Document Type
Technical Report
Publication Date
Nov 12, 1999
Accession Number
ADA371495

Entities

People

  • Michael L. Honig

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Adaptive Filters
  • Algorithms
  • Code Division Multiple Access
  • Coding
  • Communication Systems
  • Decoding
  • Detection
  • Detectors
  • Filters
  • Frequency
  • Information Science
  • Information Theory
  • Matched Filters
  • Multiple Access
  • Signal Processing
  • Transmitters
  • Wireless Communications

Fields of Study

  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Radio communications and signal processing.