Radar deception through phantom track generation

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Title: Radar deception through phantom track generation
Author: Maithripala, Diyogu Hennadige Asanka
Abstract: This thesis presents a control algorithm to be used by a team of ECAVs (Electronic Combat Air Vehicle ) to deceive a network of radars through the generation of a phantom track . Each ECAV has the electronic capability of intercepting and introducing an appropriate time delay to a transmitted pulse of a radar before transmitting it back to the radar , thereby deceiving the radar into seeing a phantom target at a range beyond that of the ECAV . A radar network correlates targets and target tracks to detect range delay based deception . A team of cooperating ECAVs , however , precisely plans their trajectories in a way all the radars in the radar network are deceived into seeing the same phantom . Since each radar in the network confirms the target track of the other , the phantom track is considered valid . An important feature of the algorithm achieving this is that it translates kinematic constraints on the ECAV dynamic system into constraints on the phantom point . The phantom track between two specified way points then evolves without violating any of the system constraints . The evolving phantom track in turn generates the actual controls on the ECAVs so that ECAVs have flyable trajectories . The algorithms give feasible but suboptimal solutions . The main objectives are algorithm development for phantom track generation through a team of cooperating ECAVs , development of the algorithms to be finite dimensional searches and determining necessary conditions for feasible solutions in the immediate horizon of the searches of the algorithm . Feasibility of the algorithm in deceiving a radar network through phantom track generation is demonstrated through simulation results .
URI: http : / /hdl .handle .net /1969 .1 /3169
Date: 2006-04-12

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Radar deception through phantom track generation. Available electronically from http : / /hdl .handle .net /1969 .1 /3169 .

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