Multi-Core Parallel Processing Services for Sensor Fusion Architecture

Phase I: Focus on architectural definition and high-fidelity modeling.

Phase II: Develop, integrate, and demonstrate a full-scale prototype.

Phase III: Integrate the Phase II developed processing unit within a HiTL simulation and transition to an aircraft platform.

The government authority is seeking information from vendors capable of providing multi-core parallel processing services for a sensor fusion architecture. The effort involves investigating and developing an efficient architectural structure to optimize sensor fusion algorithms across multi-core processors using parallel processing.

The architecture is intended to enhance target tracking, situational awareness, and decision-making in manned and autonomous systems by fusing data from homogeneous and heterogeneous sensors. Vendors are expected to develop a modular, platform-agnostic design that improves data throughput and minimizes latency while supporting parallel execution of whole-task and sub-task fusion algorithms across multiple processing cores.

The proposed solution should enable concurrent execution of spatial alignment, temporal correlation, and attribute fusion tasks; reduce processing latency without compromising fused track data or correlation accuracy; prevent track loss associated with serial processing bottlenecks or aggressive data-prioritization filters; and provide real-time processing for dynamic operational environments. Processing-unit size, weight, and power characteristics should be compatible with fifth-generation or later platforms, typically within 0.5 to 1.0 cubic feet and using 28V DC power.