An Uncertainty Analysis Approach to Improving Sensor Systems Mixes.
Abstract
A continuation of the development as a decision tool of a methodology for evaluating tactical intelligence producing systems. The basic decision is concerned with how to commit available funds to obtain the best sensor mix in terms of intelligence producing capabilities. In this exercise certain cost and operational constraints are established and defined. Pertinent information parameters used are presented and explained. Both quantitative improvements, i.e., procuring additional sensors: and qualitative improvements, i.e., developing sensors with higher probabilities of detection are considered in this exercise. The analysis consists of deriving equations which relate enemy activity, equipment detectability, number of sensors, quality of sensors, and cost to the relative probability of detection of various equipments in a US mechanized division. These relative probabilities are used to construct matrices which relate unit types to equipment. The entropy transform (H equals -P log (2) P) is applied to these matrices and information theoretic measures are derived. These measures are then used as a basis for deciding among available sensor mixes. Furhter development and problem areas are also discussed. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1977
- Accession Number
- ADA039065
Entities
People
- Gregory J. Unangst
Organizations
- United States Army Communications-Electronics Command