Robust Locally Optimum Detection in Auto-Regressive Noise

Abstract

This report presents the derivation and simulation of a robust locally optimum (LO) nonlinear spread spectrum receiver. The signaling environment consists of the desired received signal in correlated interference and thermal noise. Autoregressive (AR) spectral modeling methods and a histogram approximation of the probability density function are employed. The system under consideration is a binary phase-shift keyed (BPSK) communications system. Results from simulations indicate that applying AR modeling to the environment improves performance substantially in most cases. This document summarizes the work to date.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1999
Accession Number
ADA369115

Entities

People

  • Donald R. Ucci
  • Myron R. Mychal

Organizations

  • Illinois Institute of Technology

Tags

Communities of Interest

  • C4I
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Communication Systems
  • Computational Science
  • Continuous Waves
  • Data Science
  • Detection
  • Detectors
  • Environment
  • Frequency
  • Gaussian Noise
  • Information Science
  • Phase Shift
  • Probability
  • Probability Density Functions
  • Simulations

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Radio communications and signal processing.