Estimation-Correlation, Modeling, and Identification in Adaptive Array Processors.

Abstract

The dissertation studies several issues involved with implementing adaptive array processors for signal detection and estimation. The basic structure which examined is the estimator-correlator processor. It establishes a fundamental connection between detection and estimation theory, and solves the detection problem for the generalized exponential class of signal and noise distributions. Keywords include: Adaptive signal processing, Estimator-correlator processing, Karhunen-Loeve expansion, Kernel estimation, Signal detection, Signal estimation.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1987
Accession Number
ADA189130

Entities

People

  • J. A. Tague
  • L. H. Sibul

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Data Science
  • Differential Equations
  • Functional Analysis
  • Information Science
  • Information Theory
  • Integral Equations
  • Mathematical Analysis
  • Mathematical Filters
  • Numerical Analysis
  • Random Variables
  • Signal Processing
  • Statistics
  • Stochastic Processes
  • Theorems
  • Three Dimensional

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Statistical inference.