Accession Number:

ADA071227

Title:

Classification by Markovian Strings of Pings,

Descriptive Note:

Corporate Author:

GENERAL ELECTRIC CO SANTA BARBARA CA TEMPO

Personal Author(s):

Report Date:

1966-07-18

Pagination or Media Count:

16.0

Abstract:

The probability of correct target identification is calculated for sequences of pings. The inputs to the calculation are single hit and false alarm probabilities as well as transition probabilities. The inclusion of transition probabilities allows for the possibility that the decision with regard to a given echo may effect the decision about subsequent echoes. Probability of correct target identification for sequences of n pings is calculated by using the maximum likelihood criterion. Numerical results are shown that indicate excellent agreement with the empirical findings of Stradling and Schumacher in connection with the TRESI evaluation. To achieve this agreement it is necessary however to take advantage of the Markovian assumption since in the special case of independence the results of the calculations do not agree with experiment. Author

Subject Categories:

  • Acoustic Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE