Analytic Performance Evaluation Design of the MFACP CW Normalizer

Abstract

An analytic performance evaluation methodology of the Mid-Frequency Active Classification Processor Continuous Wave (MFACP CW) phase 1 normalizer algorithm is presented. This normalizer uses a recursive structure with an exponential filter for estimation of the mean background level of the cell under investigation. The methodology allows the determination of the expected value and variance of the normalizer mean estimate which are the essential parameters of the probability of false alarm P(F) and detection P(D) expressions from which Receiver Operating Characteristic (ROC) curves can be computed. The signal processing prior to the normalizer consists of a Fast Fourier Transform (FFT) with 75% overlap windowed data (Rectangular or Hanning) and and envelope detector. The analytic expressions derived are done specifically for 75% overlap but are general enough so that different overlapping or windowing are applicable with minor modifications.

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Document Details

Document Type
Technical Report
Publication Date
Sep 09, 1992
Accession Number
ADA271605

Entities

People

  • Carl J. Wenk
  • Fyzodeen Khan

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Data Science
  • Delta Functions
  • Detection
  • Detectors
  • False Alarms
  • Fast Fourier Transforms
  • Frequency
  • Information Science
  • Probability
  • Probability Density Functions
  • Random Variables
  • Signal Processing
  • Statistics
  • Stochastic Processes
  • Test And Evaluation
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms