In this paper a new method is proposed for separation and geolocation of moving emitters using their radiated signal which has no assumption about their numbers, positions and signal types. In the first step of the proposed method, all available signals in a scene are r More
In this paper a new method is proposed for separation and geolocation of moving emitters using their radiated signal which has no assumption about their numbers, positions and signal types. In the first step of the proposed method, all available signals in a scene are received using several sensors. In the second step a vector of time differences of arrivals between the signal received by each sensor and signal received by the reference sensor is extracted and two spaces of TDOA vectors are constructed for successive time slots. Finally a combination of multiple hypothesis tracking and data association algorithms are applied to extract and confirm meaningful strings of vectors from successive TDOA vector spaces that each string indicates an emitter. Obtained results from evaluation of the proposed method and comparing them with results obtained from existing methods, show that it can separate and track several emitters with linear, nonlinear, constant velocity and variable velocity motions. Also the proposed method shows an acceptable ability to separate and track emitters with parallel and intersecting trajectories and maneuvering emitters with greater performance than existing methods and without losing processing speed.
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