A Time-Dependent Adaptive Filter for Cochannel Interference Reduction

Abstract

This thesis presents a Time Dependent Adaptive Filter (TDAF) which exploits the cyclostationarity of digitally modulated communications signals and seeks to improve the Signal to Interference Ratio (SIR) and Signal to Noise Ratio (SNR) of such signals. The TDAF is embedded in a computer simulation of a simple communication system consisting of a data source, data formatter, pulse shaping filter, BPSK modulator, and demodulator. In the simulation the TDAF and a Time Independent Adaptive Filter (TIAF) attempt to extract the Signal of Interest (SOI) from noise or interference. the criteria of Mean Squared Error (MSE) is used as the primary means to compare the performance of the two adaptive filters. Plots of MSE improvement in interference, the improvement is measured as a function of the baud rate of the interference signal, and carrier frequency of the interference signal. It is shown that with respect to the TIAF, the TDAF provides up to 12 dB of improvement. Bit Error Rates (BER) for several simulations are presented. The data indicate that significant improvements in BER might be expected when a TDAF is used in lieu of a TIAF.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1991
Accession Number
ADA243800

Entities

People

  • Matthew H. Foster

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • C Programming Language
  • Carrier Frequencies
  • Co-Channel Interference
  • Communication Systems
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Analysis
  • Data Science
  • Demodulators
  • Digital Communications
  • Filters
  • Frequency
  • Modulators
  • Signal Processing

Fields of Study

  • Engineering

Readers

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