Detection Performance of Or-ing Device with Pre- and Post-Averaging: Part II- Phase-Incoherent Signal

Abstract

The detection performance of an or-ing device with pre-averaging and post-averaging has been determined in the form of numerous receiver operating characteristics covering a wide range of input signal-to-noise ratios. Numerical evaluation of the false alarm probability P(sub f) and detection probability P(sub d) has been conducted for the case of a phase-incoherent signal in the presence of additive Gaussian noise for a wide range of values of K, the amount of pre-averaging before or-ing; N, the number of channels or-ed; and M, the amount of post-averaging after or-ing. A MATLAB program that can be used to extend these results to parameter values outside the range studied here is also listed. The tradeoffs associated with switching from post-averaging to pre-averaging, or vice-versa, have been thoroughly investigated and tabulated for a standard operating point (P(sub f) = 1E-3, P(sub d) = 0.5) and for a high-quality operating point (P(sub f) = 1E-6, P(sub d) = 0.9). The losses associated with doing too little pre-averaging can be severe, especially for large numbers, N, of or-ed channels.

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Document Details

Document Type
Technical Report
Publication Date
Sep 28, 1999
Accession Number
ADA370787

Entities

People

  • Albert H. Nuttall

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Air Force
  • Air Force Facilities
  • Detection
  • Distribution Functions
  • Engineering
  • False Alarms
  • Gaussian Noise
  • Military Research
  • Naval Warfare
  • Probability
  • Probability Density Functions
  • Random Variables
  • Standards
  • Undersea Warfare
  • Warfare
  • Warning Systems

Readers

  • Analytical Mechanics
  • Combustion and Flow Dynamics.
  • Statistical inference.