Detectability and Effectiveness of the Wide Area Mine
Abstract
Four separate studies were conducted by faculty and students of the Department of Systems Engineering, United States Military Academy under the auspices of an Advanced Individual Study in Systems Engineering course. These studies were conducted to assist the U.S. Army Engineering Center and School (USAECS) in studies to assess the effectiveness and doctrine for deployment of the wide area mine (WAM). This report presents a summary of these four efforts. Specifically, these studies were performed to: (1) develop techniques to represent the WAM in the JANUS combat simulation model, (2) evaluate two deployment patterns using JANUS, (3) determine whether indirect fire can be used to defeat WAM, and (4) develop a high resolution simulation to assess deployment patterns to supplement the JANUS results. A southwest Asian scenario centered around a Soviet style Motorized Rifle Regiment for the Red forces was used for the three JANUS efforts. The blue forces were comprised solely of 180 WAM's (the number organic to armor or infantry battalions). The high resolution model results were derived from a BASIC computer program written to assess deployment patterns. All of these studies were conducted using unclassified data. These four studies showed that the technique used to represent the WAM in the JANUS model can drastically affect the estimated effectiveness of the WAM. A methodology is presented the produces the most "reasonable" results. The deployability studies produced conflicting results. The JANUS results showed that the X-pattern proved to be more effective in defeating a red force than a random deployment of WAM's for an unknown avenue of approach. However, the high resolution simulation showed the X-pattern did not provide dramatic improvement over some other types of results. Though inconclusive, using JANUS for this type of study was shown to be inappropriate because of the stochastic nature of the problem.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1994
- Accession Number
- ADA346444
Entities
People
- Donald R. Barr
- John R. Petty
- John V. Farr
- Patton S. Gade
- Stephen R. Mcintyre
Organizations
- United States Military Academy