Detection and Estimation of Signals in Uncertain Environments.

Abstract

In many communication problems, it becomes necessary to simultaneously detect and extract the signal so that these two operations must be jointly optimized in order to improve receiver performance. The receiver structures so obtained are considerably more complicated than conventional receivers and it is not clear that this added complexity results in a significant improvement in receiver performance. This report investigates a specific suboptimal scheme for estimating a signal in the presence of uncertainty regarding its reception. The scheme uses a probabilistic judgement to determine the presence of the signal in the observations. In order to obtain explicit estimation algorithms and to facilitate performance evaluation, a specific problem of signal estimation under uncertainty, namely the tracking of a target in a multi-target multi-sensor environment is considered. Explicit estimation algorithms are developed and the performance of the receiver is evaluated under conditions involving fading media or quantized observations. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 31, 1976
Accession Number
ADA031256

Entities

People

  • M. D. Srinath

Organizations

  • Southern Methodist University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Central Processing Units
  • Communication Systems
  • Detection
  • Detectors
  • Estimators
  • False Alarms
  • Information Science
  • Kalman Filters
  • Optimal Estimators
  • Parallel Computing
  • Parallel Processing
  • Random Variables
  • Statistics
  • Stochastic Processes
  • Supervised Machine Learning
  • Target Tracking

Fields of Study

  • Engineering

Readers

  • Radio communications and signal processing.
  • Sensor Fusion and Tracking Systems.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.