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• W2017069762 abstract "1. IntroductionAngle-only tracking systems based on passive sensors are poorly developed due to anumber of complications. They receive signals transmitted from other emitters andtend to be less precise than those based on active sensors. However, one importantadvantage is their vitality of being stealth. In general, passive sensors make only line-of-sight angle detection. In the single sensor case that means that we know only direc-tion of the target as an axis, but the true target position and behavior (approaching ordescending) remain unknown. The problem of determining an objects’ position with-out using measurements of the distance to it concerns moving platform applications,astronomy and some military situations, where it is important to estimate the position(respectively the distance to the object) and, in particular, the behavior of moving tar-gets. In military avionics, for example, some fighter defending against a raid may wishto launch a missile as a counteraction to the enemy, but it could not do this until theposition and the behavior of the opposing target are not known. In such situations,the uncertainty with respect to the opposite target behavior requires to compensate themissing range by utilizing the extracted from the received emitter’s signal attributes.This information can be used to assess tendencies in target’s behavior and its locationand, consequently, to improve the overall angle-only tracking performance.The objective of this work is to present an approach for target behavior tendency esti-mation, basedon the applicationofthe principles offuzzylogic to conventionalpassiveradars. It utilizes themeasuredemitter’s amplitudevaluesin consecutivetime momentsand uses a set of particular filters design with respective set of possible target behaviormodels. In real world situations, fuzzy logic provides an approximate but consistentsolutions to complex engineering problems, where numerical data usually are noisyand incomplete, and the linguistic information is imprecise and vague. Compared toINFORMATION & SECURITY. An International Journal, Vol. 9, 2002, 58-69" @default.
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• W2017069762 date "2002-01-01" @default.
• W2017069762 modified "2023-10-14" @default.
• W2017069762 title "Fuzzy Logic Approach to Estimating Tendencies in Target Behavior" @default.
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• W2017069762 doi "https://doi.org/10.11610/isij.0902" @default.
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