Non-Acoustic ASW Sensor Modeling & Decision Aids

Development of concepts and associated algorithms for dynamic alignment of ship sensors and weapon systems is proposed. Correlation processing of ship sensor data provides the opportunity to develop composite tracks and calculate the difference or trackoffsets in the constituent sensor tracks that are each based on single sensor measurements. Both the short and long-term time averages of track offsets of correlated sensor tracks from different sensors are useful data for sensor/weapon alignment. Thesensor misalignment, regardless of the cause, would be dynamically available on a track-by-track basis by extracting the track offsets measured in the track correlation process. The proposed alignment algorithm development would address misalignmentscaused by a multiplicity of conditions such as ship's flexure, temperature differentials and navigation sensor latency. The technique would also address sensor misalignment caused by the effects that refraction and ducting have on microwave propagation bysensors operating at different wavelengths. DSR proposes an alignment algorithm integrated into a COTS based multi-source data fusion architecture. This architecture supports an innovative data processing technique that leverages correlatedplatform-centric sensor tracks to form a platform-centric dynamic sensor alignment algorithm. The algorithms would be inserted into legacy and/or developmental multiple-source data fusion processing architectures.The sensor-to-sensor/weapon alignmentalgorithm is envisioned as a processing module suitable for other surveillance requirements including law enforcement, air traffic control, drug interdiction, ship multi-radar based navigation and collision avoidance and commercial vehicle location andtracking.