Multilateration and Kalman Filtering Techniques for Stealth Intelligence Surveillance and Reconnaissance Using Multistatic Radar

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  • The research presented in this thesis demonstrated that with a multistatic radar in a 2D plane using the TDOA and FDOA multilateration technique along with the Kalman Filter, to hybrid-geolocate and track a moving stealth target with only two receivers. Hybrid-geolocate and tracking is where the initial location and velocity of the target are unknown. This is an important problem to address because when monitoring boarders between countries, prior knowledge of an incoming target stealth threat is unavailable. Using the Modified Hough Transform, initial and consecutive target locations can be found. Using the dual stage method, reduces the number of receivers required down to two while keeping track of target geolocations. GDOP was used to test boundaries of optimal operation of this radar setup whereas RMSE was used to validate results. This research has shown that in fact hybrid-geolocation and tracking is possible given the dual stage method.

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  • Copyright © 2017 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
Date Created
  • 2017


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