In joint work with JHU/APL,
Daniel H. Wagner Associates developed and continues to enhance SRAPS, the Surveillance Resource
Allocation Planning System. It is used by Space and Naval Warfare
Systems Command and other Navy customers to study issues concerning how many
active and passive acoustic platforms and sensors are required to achieve a
certain mission success criteria, how long
it will take to achieve this mission success criteria, and how effective a certain number
of platforms and sensors will be when performing a specified mission.
SRAPS could also be used to support the missions of Undersea Surveillance
Commanders to detect, locate, track, and gather information on undersea
targets in their regions, as a powerful analysis tool in the assessment of the
capabilities of surveillance assets in DOD contingency areas, and as a powerful operational
planning tool for Theater and Area Undersea Surveillance Commanders.
To support these uses, SRAPS has several powerful algorithms for optimal
allocation of surveillance assets. These algorithms determine optimal settings for active or passive systems.
They optimize with respect to user selected measures of
effectiveness (MOE), such as maximizing the probability of detecting
specified targets of interest.
Other algorithms optimize the path of a search platform
with respect to a user selected MOE. SRAPS uses accurate modeling of sensor
reports, negative data from unsuccessful searches, and modeling of target motion to provide meaningful
estimates of target location and motion. It also uses accurate
non-homogeneous and range dependent models for estimating transmission loss
(TL) and active reverberation. In addition to the military
purposes described above, SRAPS has potential commercial applications
in the tracking of whale migration and protection of fisheries.
