What project BC8 buys
This project matures and demonstrates advanced training technologies in support of the Army's need for simulations that accurately replicate and realistically represent the effects of current and future weapons systems during live and synthetic training. Integration of the live and synthetic environments into a single synthetic training environment will modernize the current Live Training Environment and allow fair fight engagements across all training environments and training devices. This project complements work done in Program Element (PE) 0602143A (Soldier Lethality Technology) / Project BC7 (Training Technology (Other than STE) and Program Element (PE) 0603118A (Soldier Lethality Advanced Technology) / Project BE9 STE Advanced Technology. Work in this project is performed by the Soldier Center (SC).
Project BC8 funding, FY2025–FY2026
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 7.8 |
| FY2026 | Enacted | 22.6 |
6 accomplishments / planned programs
The R-2A exhibit — the only level of the budget that describes work that has not happened yet. Activities carry the prior, current and budget year only, no five-year plan. Coverage is partial across the corpus, so count activities, never total them.
FY2026 to FY2027 change Funding decrease reflects transfer to Program Element (PE) 0603118A (Soldier Lethality Advanced Technology) / Project BC1 (Human Performance Adv Tech for Mobility & Lethality) to streamline and optimize the Science and Technology (S&T) portfolio.
FY2026 plans — current year Will optimize and validate Spatial Phase Imaging (SPI) sensor that is used to capture and identifying 3D objects in real time for target recognition, range finding and probability hit / kill adjudication during simulated engagements. Will integrate and demonstrate sensor for direct fire engagements in programs of record.
FY2025 accomplishments Will verify and validate integrated sensor architecture and ballistic flyout model performance in one to two high fidelity live range exercises; verify and validate casualty assessment accuracy and latency performance against live weapon performance.
FY2026 to FY2027 change Funding decrease reflects transfer to Program Element (PE) 0603118A (Soldier Lethality Advanced Technology) / Project BC1 (Human Performance Adv Tech for Mobility & Lethality) to streamline and optimize the Science and Technology (S&T) portfolio.
FY2026 plans — current year Will integrate and optimize cyberspace data models and brokering architecture into Joint Land Component Constructive Training Capability (JLCCTC), Persistent Cyber Training Environment (PCTE) and Intelligence Electronic Warfare Tactical Proficiency Trainer (IEWTPT) programs of record.
FY2025 accomplishments Will verify and validate cyberspace data models and integrate into brokering effects architecture; validate performance in Cyber, Electronic Warfare (EW) and Global Positioning System (GPS) denied environments specific to Multi-Domain Operations (MDO) use cases; and analyze performance data and begin integration of mature enhancements of brokering architecture.
FY2026 to FY2027 change Funding decrease reflects transfer to Program Element (PE) 0603118A (Soldier Lethality Advanced Technology) / Project BC1 (Human Performance Adv Tech for Mobility & Lethality) to streamline and optimize the Science and Technology (S&T) portfolio.
FY2026 plans — current year Will mature hardware acceleration architecture; finish implementation/integration of dynamic behavior algorithms for large-scale training exercise use-cases, mature configuration and authoring components in relevant planning pre-exercise use-cases; and start validation of component architecture and integration into a single solution for implementation in execution phase of large-scale collective simulated exercises.
FY2025 accomplishments Will develop hardware acceleration architecture; start implementation/integration of dynamic behavior algorithms for large scale training exercise use cases, integrate configuration and authoring components in relevant planning pre-exercise use cases; and start mature component architecture integration into a single solution for implementation in execution phase of large scale collective simulated exercises.
FY2026 to FY2027 change Funding decrease reflects transfer to Program Element (PE) 0603118A (Soldier Lethality Advanced Technology) / Project BC1 (Human Performance Adv Tech for Mobility & Lethality) to streamline and optimize the Science and Technology (S&T) portfolio.
FY2026 plans — current year Will begin initial validation activities of architecture previously designed to leverage mature/reusable Measures of Performance/Effectiveness (MOPs/MOEs); demonstrate Multi-Domain Operations (MDO) profiles and authoring tools/user interfaces aligned to knowledge, skills, abilities and behaviors (KSABs) across identified MDO task structures; demonstrate architecture to simulate first order effects in information warfare domain.
FY2026 to FY2027 change Funding decrease reflects transfer to Program Element (PE) 0603118A (Soldier Lethality Advanced Technology) / Project BC1 (Human Performance Adv Tech for Mobility & Lethality) to streamline and optimize the Science and Technology (S&T) portfolio.
FY2026 plans — current year Will mature and demonstrate physics- based algorithms for munitions effects in live range environment based on initial validation, demonstrate wireless data compression architecture for live/virtual/constructive training environments; demonstrate data models that enable high fidelity engagements in live environment; and demonstrate and optimize layered and scalable terrain architecture for live range environment use cases.
FY2026 to FY2027 change Funding decrease reflects transfer to Program Element (PE) 0603118A (Soldier Lethality Advanced Technology) / Project BC1 (Human Performance Adv Tech for Mobility & Lethality) to streamline and optimize the Science and Technology (S&T) portfolio.
FY2026 plans — current year Will mature and demonstrate physical and software solutions for prolonged care in support of Multi-Domain Operations (MDO) training environment; optimize consolidated physiology engine and updated haptic hardware against Live prolonged care use cases that support Army medical training, such as extended austere environment, gender care differences and patient handoff.