Spatial localization given measurements of the sound field at a microphone array is a computationally challenging task. While big progress has been achieved in Azimuth localization, little attention has been paid to localization in distance. This paper presents a multi-sources localization model based on Time Delay of Arrival (TDOA) using only two microphones. The proposed method requires estim...

Technische Fakultät Institut fur Informatik Telecommunications Engineering Tracking a Mobile Receiver using the Unscented Kalman Filter by Joan Bordoy Andreu Indoor localization based on Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) has been a promising subject of study the last years. In this thesis, a moving target is tracked by receiving discrete signals from s...

This paper details a method of determining the uncertainty of dimensional measurement for a three dimensional coordinate measurement machine. An experimental procedure was developed to compare three dimensional coordinate measurements with calibrated reference points. The reference standard used to calibrate these reference points was a fringe counting interferometer with the multilateration te...

Spectral width is one of the standard data types produced by the Super Dual Auroral Radar Network (SuperDARN). A pronounced latitudinal gradient in spectral width has been reported in the literature and is used as an empirical proxy for the ionospheric footprint of the open-closed field-line boundary. In this work we investigated the daytime radar echo properties near the spectral width boundar...

Microseismic signals are generally considered to follow the Gauss distribution. A comparison of the dynamic characteristics of sample variance and the symmetry of microseismic signals with the signals which follows α-stable 10 distribution, reveals that the pulse characteristics of the microseismic signal is outstanding and that the probability density curve of the microseismic signal is approx...

The node localization problem in mobile sensor networks has received significant attention. Recently, particle filters adapted from robotics have produced good localization accuracies in conventional settings. In spite of these successes, state of the art solutions suffer significantly when used in challenging indoor and mobile environments characterized by a high degree of radio signal irregul...