Abstract
This paper presents a localization system designed to be used in indoor manufacturing environments. The system determines the position of an object body by fusion of the information received from INS (Inertial Navigation System) sensor with RSSI (Received Signal Strength Indication) readings. The position estimated by the Kalman filter has an increased accuracy because the filter combines two types of information with complementary properties: reading from INS is short term accurate with an unbounded increasing error, and location estimation based RSSI is characterized by a bounded positioning error.
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