Accession Number:

ADA091954

Title:

Multi-Sensor Detection Study.

Descriptive Note:

Final rept. Apr-Sep 80,

Corporate Author:

LEE (J S) ASSOCIATES INC ARLINGTON VA

Personal Author(s):

Report Date:

1980-09-30

Pagination or Media Count:

112.0

Abstract:

The methods of complex Gaussian multivariate analysis are applied to the problem of detecting signals in noise using data from multiple sensors whose relative locations are arbitrary. Theory is used to predict detection performance in terms of minimum detectable signal MDS. A computer program implementing the multivariate detection approach is described, demonstrating that computational requirements are modest and verifying theory by simulation. Significant improvements over single-sensor processing reduction in MDS by a factor equal to the number of sensors is shown for certain cases. Author

Subject Categories:

  • Statistics and Probability
  • Computer Hardware

Distribution Statement:

APPROVED FOR PUBLIC RELEASE