HYPERION TECHNOLOGY GROUP INC — Department of Defense SBIR Phase I: N142-086

Description

Acoustic sensors, such as the Ground Counter Fire Sensor (GCFS), are used by the USMC to identify the point-of-origin (POO) and point-of-impact (POI), as well as provide source identification. This effort will develop a proof-of-feasibility set of signal processing algorithms for the GCFSs Command Post (CP). These algorithms will permit a network consisting of a mixture of up to 12 fixed listening posts (LPs) and relocatable LPs (RLPs). The CP will de-conflict simultaneous events and identify POO / POI as well as the firing platform with the accuracy stated in the solicitation as an optimal goal. Hyperion will develop a robust event location estimation algorithm. A stochastic data fusion method will be developed for handling simultaneous events. Acoustic ray-tracing and wave propagation estimators, using meteorology and terrain data, will be used to achieve highly accurate calculations of event time and location and support improved event type identification. As a benefit of this work, the USMC can implement an improved sensor network, lessening the logistical burden on the Warfighter in regards to emplacement, operation and maintenance.