Adaptive Detection Threshold Optimization for Multi-Target Tracking in Clutter.

Abstract

The problem of selecting signal processing parameters, particularly detection thresholds, so as to optimize downstream tracking performance is examined further. Numerical simulations are used to establish the validity of certain approximations made previously. These simulations suggest that steady-state analysis is inadequate, and an adaptive threshold optimization scheme is proposed as an alternative. Finally, the original derivation of the Probabilistic Data Association Filter (PDAF), upon which the present work is founded, is augmented to account for finite gate size. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 31, 1983
Accession Number
ADA127159

Entities

People

  • Saul Gelfand
  • Thomas E. Fortmann
  • Yaakov Bar-Shalom

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Coordinate Systems
  • Data Association
  • Detection
  • Equations
  • False Alarms
  • Monte Carlo Method
  • Multitarget Tracking
  • Optimization
  • Probability
  • Riccati Equation
  • Signal Processing
  • Simulations
  • Standards
  • Steady State
  • Target Tracking

Readers

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