Track Score Processing of Multiple Dissimilar Sensors
Abstract
In this thesis, a data fusion problem when a number of different types of sensors are deployed in the vicinity of a ballistic missile launch is studied. An objective of this thesis is to calculate a scoring function for each sensor track, and the track file with the best (optimum) track score can then be used for guiding an interceptor to the threat within the boost phase. Seven active groundbased radars, two space-based passive infrared sensors and two active light detection and ranging (LIDAR) sensors are used to track the ballistic missile in the boost phase. Each space-based platform carries one passive infrared sensor and one LIDAR. For the threat scenario, an IMPULSE intercontinental ballistic missile model is used to create the trajectory of a generic ballistic threat. The IMPULSE model is developed by the National Air and Space Intelligence Center to provide an accurate representation of ballistic missiles. Each sensor provides a track of the missile in the boost phase by using a multiple hypotheses tracking algorithm with an extended Kalman filter. The calculation of the track scoring function is to identify the sensor with the best track file. A track score is calculated for each sensor based on the kinematics of the missile flight parameters and the signal-to-noise ratio at the sensor. By using likelihood ratios, the optimum track file of the threat can then be determined and the corresponding track file can be transmitted to the battle manager control in order to lead the interceptor vehicle against the threat using the track file with the best score. Using the optimum track file scoring signal processing techniques developed in this thesis, the best track file can be sent to the interceptor to destroy the ballistic threat. This leads to a faster response management where the threat can be destroyed inside the territory of the country which launched the threat before any countermeasures are deployed.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2007
- Accession Number
- ADA473278
Entities
People
- Dimitrios Patsikas
Organizations
- Naval Postgraduate School