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

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Creator: 

Nagy, Abdulhak

Date: 

2017

Abstract: 

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.

Subject: 

Engineering - Electronics and Electrical

Language: 

English

Publisher: 

Carleton University

Thesis Degree Name: 

Master of Applied Science: 
M.App.Sc.

Thesis Degree Level: 

Master's

Thesis Degree Discipline: 

Engineering, Electrical and Computer

Parent Collection: 

Theses and Dissertations

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