Sunday, February 22, 2015

Army CERDEC seeks Multi-modal Signal and Fusion Processor Architectures

A--Multi-modal Signal and Fusion Processor Request for Information (RFI) February 2015
: W56KGU-15-R-A025
: Sources Sought
: Added: Feb 18, 2015 4:39 pm
Multi-modal Signal and Fusion Processor Request for Information (RFI) February 2015

Background

U.S. Army Communications-Electronic Research, Development and Engineering Center (CERDEC), Intelligence and Information Warfare Directorate (I2WD) is conducting this RFI to determine potential capability and innovative approaches for a common architecture for performing multi-modal fusion within signal processors, on the payload of sensor platforms, on maneuvering vehicles, and at fixed site locations. This common architecture will be aligned with a Distributed Process Exploitation Dissemination (DPED) Army enterprise across echelons and adjacent units.

To this end, the Army is seeking PED applications that accelerate the processing of intelligence, increase the richness of exploitation, facilitate dissemination, expedite and enhance analyst RFI fulfillment, and improve commander situational awareness. Applications may lend themselves to either real-time or forensic use or both. Examples of such algorithms include (but are not limited to) the following:

Real-time algorithms will reside directly on the sensor platform, with the purpose of rapidly processing, correlating, and reducing multi-INT data for immediate situational awareness as well as maximizing available bandwidth to a ground station or PED cell. Forensic algorithms take advantage of the wider range of data available on the cloud along with the increased processing power available to provide enhanced products with full situational and historical context. The primary focus of this request is the enhancement of real-time user workflow.
Technologies must be mature enough to be implemented as a service-oriented application in a cloud-based framework.

Objective

Describe new, existing, and/or enhancements of capabilities to achieve one or more of the following objectives:
  1. Platform agnostic onboard real-time cueing, cross-cueing and tipping.
  2. Pro-Active Real-time alerting.
  3. Fusion algorithms for entity detection and tracking.
  4. Open common modular system architecture for performing levels 1 - 4 fusion. A single system architecture for all operating environments, such as aerial platforms, ground platforms, vehicles, ground stations, and operating bases. The system architecture supports adding, removing, and reconfiguring modules to address the system and operational requirements of the operating environment.
  5. Multi-level security (MLS) on a single hardware platform. Fusing multiple data sources from a lower security level can result in data at a higher security level. A single multi-modal fusion node can have several fusion functions that each generates results at different security levels.
  6. Receiving and transmitting multi-modal data over multiple communication channels (Ethernet, Wi-Fi, satellite, radio and other military communication channels). Multi-modal fusion requires the ability for a single node to receive various types of data (video, audio, imagery, radar data, tracks, or text) in various forms (raw, normalized, or processed). The modalities will vary by platform. Likewise, the modalities of the data sent from the multi-modal fusion node will vary per platform.
  7. Distributed multi-modal fusion - the interconnection of multiple nodes that perform multi-modal fusion on different platforms serving different echelons. Solutions for resolving problems that arise from interconnecting multiple nodes, such as disambiguation, synchronization, bandwidth limitations, coordination, administration and communication disruptions.
The descriptions should address the following concerns.
  • Size, weight, power, and cooling (SWAP-C) reduction
  • Cross-domain communication
  • Secured communication
  • Threat protection
  • Low bandwidth and disconnected communication
  • Virtualization, provisioning, and orchestration
  • Testing and evaluation in a virtual simulation environment
  • Existing Army Enterprise Integration.
 

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