Novel Backup Filter Device for Candle Filters

Not Available Traditionally, simulations have handled the modeling of the synthetic natural environment (SNE) internally, creating closed, stovepipe environments. While this was sufficient for stand-alone systems, it is not sufficient to support today's distributed simulation environments. Systems, once used for individual training, are being reused in distributed exercises to support collective training, mission planning, and mission rehearsal. These systems, of varying fidelity and data requirements, need to interact together in a shared synthetic environment. To support these systems, an open, flexible, distributed processing environment is needed. The system must provide a consistent representation of the SNE while supporting a wide array of source data and simulation systems. M¿K Technologies will establish a robust SNE architecture that supports both embedded and distributed SNE calculations. The architecture is based on two primary components; the SNE Application Programmers Interface (API) and the Smart Server. The SNE API supports the incorporation of many different authoritative data sources, while insulating the simulation from changes in the underlying data formats and data distribution mechanisms. The SNE Smart Server will be capable of providing SNE calculations for end systems with different modeling requirements, and performing load balancing by distributing the SNE related processing across other network resources.