GMTI Utility Analysis for Airborne Assets

摘要

Proper requesting and tasking of airborne Ground Moving Target Indicator (GMTI) assets to satisfy specific operational needs is a complex problem due to the multidimensional nature of GMTI data collection. A high level of technical expertise is required to correctly determine GMTI collection parameters needed to satisfy operational mission needs. With an anticipated higher volume of GMTI collection requests than can be accommodated by available theater ISR assets, some form of prioritization and assignment of requests to specific assets that is achievable is needed. In addition, as the number and types of GMTI-producing ISR assets in theater increases, the challenge is to understand the resource utilization of each sensor type against specific mission objectives and to effectively assign collection requests to each asset. The GMTI community would benefit from tools and metrics to assist nonexperts in requesting and tasking GMTI assets in a manner that will fulfill their mission needs and quantify GMTI collection utility. We present a new Moving Target Indicator Interpretability Rating Scale (MTIIRS) metric for measuring GMTI data quality, and a suite of new tools for both requesting GMTI support and for selecting and tasking GMTI assets to achieve desired operational objectives. We have identified mission type, target type, and area of interest as a core set of parameters which define the GMTI collection requirements and give rise to an MTIIRS level (independent of a specific GMTI asset). Information needs are derived from a set of mission types, such as high value target-tracking, force protection, and facility monitoring. Each mission type corresponds to a predictive model used to compute GMTI collection utility for a given target type, area of interest and GMTI sensor. The presentation includes briefing charts.