Current AOR Inc. Projects

LBSF&I:
AOR, Inc. analysts are currently supporting the SPAWAR PMW-180 Littoral Battlespace Sensing, Fusion, and Integration (LBSF&I) program. The objective of LBSF&I is to deliver an Intelligence Preparation of the Environment (IPE) and Battlespace Awareness (BA) capability to the warfighter.  The overarching LBSF&I capability goal is a completely integrated end-to-end “System of Systems (SoS)” capable of measuring a large variety of environmental parameters from the sea floor to space and streaming these data to central fusion sites.  The fusion sites then process, exploit, and quality control data to produce relevant information that supports the tactical, operational and strategic levels of war.  This process includes the dissemination of this information or knowledge of the battlespace to relevant C4ISR systems as part of the Navy FORCEnet infrastructure.

Specifically, AOR is conducting the following studies and analyses in support of the LBSF&I Program:

• AOR is leading the LBSF&I Autonomous Undersea Vehicle (AUV) analysis of alternatives (AoA) which is examining the tactical utility of AUVs for ocean bathymetric survey operations and mine warfare (MIW) q-route operations.  The results of this AoA will be delivered to CNO N84, Commander Naval Meteorology and Oceanography (CNMOC), and SPAWAR PMW-180.

• AOR is leading the LBSF&I Data Fusion and Assimilation AoA that is examining the tactical utility of ocean temperature and salinity (T/S) fusion and assimilation methods.  The methods being examined include historical climatology databases, optimal interpolation schemes, coupled interpolation and dynamical ocean modeling iterative schemes, and 3D and 4D variational techniques. The results of this AoA will be delivered to CNO N84, Commander Naval Meteorology and Oceanography (CNMOC), and SPAWAR PMW-180.

OBCI:

AOR, Inc. analysts are also currently supporting the CNO N87, CNMOC and SPAWAR PMW-180 Ocean Bottom Characterization Initiative (OBCI). The objective of OBCI is to design a prototype system of systems that will accelerate the collection of bottom backscatter and bottom loss data sets for inclusion in NAVOCEANO databases in areas of interest.  The system will augment currently existing survey techniques employed by NAVOCEANO’s fleet of T-AGS class ships.  OBCI will also accelerate the processing, reprocessing and/or adaptation of existing datasets to populate databases.  The collected data sets will support sensor performance predictions for low and mid-frequency active and passive Navy sonar systems.  The data sets will also be used inside ASW C4 systems to determine optimal ASW asset allocation and aid in constructing the Common Tactical Picture (CTP) at the operational and theater levels of warfare.

Specifically, AOR is conducting the following studies and analyses in support of the OBCI Program:

• Determine the sensitivity of relevant sonar performance predictions to geo-acoustic line survey spacing and to the number of discrete layers employed to represent ocean sub-bottom sediment layers.

• Given the results of the sensitivity analysis, conduct an analysis of alternatives of ocean bottom collection platform, sensor, and processing alternatives applicable to tactically relevant Pacific Fleet littoral area ocean bottom survey operations. The results of this AoA will be delivered to CNO N87, Commander Naval Meteorology and Oceanography (CNMOC), and SPAWAR PMW-180.

DDG-1000:

AOR, Inc. analysts are currently supporting PMS-500, the DDG-1000 Program and SPAWAR PMW-180 in a weapon systems meteorology and oceanography (METOC) data requirements assessment.  In this study, AOR analysts are capturing DDG-1000 weapons system METOC requirements, developing alternatives for addressing these requirements, and conducting an analysis of alternatives to determine the most cost-effective METOC data solution for selected DDG-1000 engagement systems.

AOR Inc. analysts are also currently supporting PMW-120 in an Upper Air Sounding Market study to help identify options for the Navy's next generation radiosonde capability.  This next generation capability must: (1) operate in a reduced manpower environment, preferably in a fully automated mode; (2) address the sampling and logistics related limitations of radiosondes; and (3) be fully integrated with Navy afloat and ashore networked computational and data environments.