Accession Number:

ADA533718

Title:

Probability and Statistics in Sensor Performance Modeling

Descriptive Note:

Final rept.

Corporate Author:

COLD REGIONS RESEARCH AND ENGINEERING LAB HANOVER NH

Report Date:

2010-12-01

Pagination or Media Count:

63.0

Abstract:

Signals from many military targets of interest are often strongly randomized, due to the irregular mechanisms by which the signals are generated and propagated. In particular, complicated and dynamic terrestrialatmospheric environments with man-made objects, vegetation, and turbulence randomize signals through random atmospheric and terrestrial processes affecting the propagation. Signals may also be considered random due to uncertainties in the knowledge of the propagation environment and target-sensor geometry. Predictions of sensor performance and recommendations of sensor types and placements derived from them, thus, should account for the random nature of the sensed signals. This report discusses software-modeling approaches for characterizing signals subject to random generation and propagation mechanisms. By representing signals with random variables, they are manipulated statistically to make probabilistic predictions of sensor performance. Both the theory and implementation in a general, object-oriented software design for battlefield signal transmission and sensing is explained. The Java-language software program is called Environmental Awareness for Sensor and Emitter Employment. Some important numerical issues in the implementation are also discussed.

Subject Categories:

  • Statistics and Probability
  • Miscellaneous Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE