Accession Number:

ADA281077

Title:

Deception Algorithm

Descriptive Note:

Final technical rept.

Corporate Author:

ARMY BELVOIR RESEARCH DEVELOPMENT AND ENGINEERING CENTER FORT BELVOIR VA

Personal Author(s):

Report Date:

1994-06-30

Pagination or Media Count:

25.0

Abstract:

Combat modeling has shown that close combat decoys can improve Loss Exchange Ratios by 20-50 and that models that do not realistically address the effects of close combat decoys understate Loss Exchange Ratios by 15-25 when close combat decoys are employed. This report describes an algorithm that was created to realistically address the effects and operational impacts of deception and close combat decoys in standard Army wargames and analytical models such as Janus, CASTFOREM, and the Semi-Automated forces model in SIMNET. Data for the algorithm were obtained from live force-on-force exercises conducted in conjunction with the Multispectral Close Combat Decoy MCCD initial Operational Test and Evaluation IOTE conducted at Fort Hunter Liggett during the Spring of 1993. These data reflect the operational impact of the most commonly recognized effects of decoys which includes the detection, identification and engagement of the decoys themselves, and the misidentification and engagement of false targets and non targets by opposing forces.

Subject Categories:

  • Operations Research
  • Military Operations, Strategy and Tactics
  • Countermeasures

Distribution Statement:

APPROVED FOR PUBLIC RELEASE