Accession Number:

ADA454747

Title:

A Bayesian Approach to Predicting an Unknown Number of Targets Based on Sensor Performance

Descriptive Note:

Conference paper

Corporate Author:

NATO UNDERSEA RESEARCH CENTRE LA SPEZIA (ITALY)

Personal Author(s):

Report Date:

2006-08-01

Pagination or Media Count:

12.0

Abstract:

Estimating remaining targets after some attempt has been made to detect an overall, unknown number of targets is critical to determining the potential threat associated with these remaining targets. This paper presents a Bayesian approach to calculate the distribution on the number of remaining targets given the sensor performance and the number of targets detected. For a single sensor, a closed form posterior distribution on remaining targets is derived. For multiple sensors, the corresponding posterior distribution is developed. A naive implementation of this calculation is shown to be computationally prohibitive, and an efficient means for performing the calculation is presented.

Subject Categories:

  • Statistics and Probability
  • Operations Research
  • Acoustic Detection and Detectors
  • Target Direction, Range and Position Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE