Robust Locally Optimum Detection.

Abstract

The Locally Optimum (LO) detection technique has been studied for the improvement of communication system performance, especially for spread spectrum systems, wherein performance can still be degraded by high interference to signal ratios. A wide variety of signal interference types can be handled using advanced statistical decision and signal processing techniques, resulting in a robust receiver, suitable for incorporation into the SMART radio system. Two specific detectors are reviewed, namely the histogram indirect and the Fourier series approximation direct methods. Three associated LO detector enhancement techniques are derived and examined: the Least Squares (LS); the Characteristic Function (CF); and the preamble enhancement methods. Based on simulations developed using MATLAB, the enhanced LO detectors are shown to provide, in most cases, significantly better performance than previous methods. Moreover, the preamble technique is shown to be much more robust than the LS and CF enhancement methods, the cost being an increase in system overhead, something that is usually mostly already paid for by other system acquisition and protocol functions.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1996
Accession Number
ADA314854

Entities

People

  • Donald R. Ucci
  • Myron R. Mychal
  • William E. Jacklin

Organizations

  • Illinois Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Detection
  • Detectors
  • Digital Signal Processing
  • Estimators
  • Fourier Series
  • Frequency
  • Gaussian Noise
  • Histograms
  • Information Science
  • Probability
  • Sequences
  • Signal Detection
  • Signal Processing
  • Simulations
  • Spectra
  • Spread Spectrum

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Radio communications and signal processing.