Modeling Active Beacon Collision Avoidance System (BCAS) Measurement Errors: An Empirical Approach.

Abstract

The Active Beacon Collision Avoidance System (BCAS) algorithm evaluation required the development of accurate input error models. This document describes a methodology used to model Active BCAS errors associated with the measurements of altitude and range. The models were required for use in the analysis of Active BCAS resolution performance in an error-degraded environment. A time series analysis of two independent sets of data from Active BCAS surveillance tracker test flights showed that Active BCAS measurement errors are highly sequentially correlated (auto-correlated) and time dependent. This indicated that dynamic (time dependent) models are more appropriate than the previous static (time independent) models. The analysis showed that range and altitude measurement errors could be characterized using first and second order autoregressive processes. The improvement in the characterization of the errors was achieved without increasing the model complexity. The number of parameters was increased by one compared to the number of parameters of the previous static models. With availability of more sets of data, not necessarily larger sets, the methodology could be applied to increase the accuracy of the parameter estimates. The methodology, described herein, could be applied to develop altitude and range measurement error models for other collision avoidance systems in which similar tracking procedures were used. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1980
Accession Number
ADA087138

Entities

People

  • B. Billmann
  • J. Windle
  • James P. Thomas
  • Trevor Morgan

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aircrafts
  • Altitude
  • Autocorrelation
  • Collision Avoidance
  • Collision Avoidance Systems
  • Correlation Analysis
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Flight
  • Information Science
  • Level Flight
  • Measurement
  • Random Variables
  • Statistical Analysis
  • White Noise

Readers

  • Approximation Theory.
  • Gender and Food Studies
  • Statistical inference.