An Improved Federal Kalman Filter Based on Smoother for Wireless Localization

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Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Mobility
Format: PDF
Wireless localization is achieved by using measurements from target to anchors. In general, localization can be obtained by using Time Of Arrival (TOA) measurements, Time Difference Of Arrival (TDOA) measurements, Angle Of Arrival (AOA) measurements, Received Signal Strength (RSS) measurements or a combination of above. In this paper, the authors consider using TDOA measurements. The researchers first introduced Kalman filter in their paper in 1960. Kalman filter uses priori information to obtain prediction information in the first step.
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