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The TDoA (Time Difference of Arrivals) based location tracking systems using the RF and ultrasonic signals often give unacceptable errors due to the line-of-sight limitation of the ultrasonic signal. Overcoming this limitation, this paper proposes a novel TDoA based location tracking technique that explicitly exploits the ultrasonic reflection scenarios in the target location estimation. The proposed...
This paper describes a system for three dimensional indoor and outdoor localization of animals using a sequential Monte-Carlo-Method. A Kalman based particle filter is used to improve the measurement quality by incorporating the dynamics of the target object. The positioning method was integrated into a system for animal behavior analysis which provides extensive features to identify habitual residence...
An extended Kalman filter-based interacting multiple model algorithm (IMM-EKF) is proposed for mobile terminal tracking in cellular networks based on time of arrival estimates. The proposed IMM-EKF is able to cope with line-of-sight (LOS) and non-line-of-sight (NLOS) conditions modeled by a Markov chain, where the LOS and NLOS errors are described by different noise models. Road-constraints are included...
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