Comparison of Time and Transform Domain Interference Mitigation Techniques

Abstract

Many methods have been proposed for suppressing interference in a direct sequence spread spectrum signal, including time domain adaptive filtering and transform domain excision. This report presents Monte Carlo simulation results which directly compare the performance of predictive and two sided adaptive filters, time domain adaptive correlation, transform domain excision with modulated lapped transforms and time domain correlation, and transform domain excision with modulated lapped transforms and transform domain excision. Comparisons are made for a number of different jammers, including fixed and swept frequency (i.e. chirp) tones, narrowband Gaussian interference, and pulsed tone and narrowband Gaussian interference. The performance of all the systems is compared under identical jamming conditions. Simulations were performed using the Signal Processing WorkSystem (SPW) Prom Alta Group of Cadence Design Systems, Inc. The results indicate that the transform domain excision with the modulated lapped transform and time domain correlation may provide the best compromise in implementation complexity and performance over the range of interferers considered.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1998
Accession Number
ADA351524

Entities

People

  • Catalina A. Silva
  • Gary J. Saulnier

Organizations

  • Rensselaer Polytechnic Institute

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Adaptive Filters
  • Air Force Research Laboratories
  • Algorithms
  • Bandwidth
  • Communication Channels
  • Communication Systems
  • Computational Complexity
  • Delay Lines
  • Digital Signal Processing
  • Filters
  • Frequency
  • Frequency Bands
  • Frequency Domain
  • Narrowband
  • Signal Processing
  • Simulations
  • Time Domain

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Approximation Theory.
  • Radio communications and signal processing.