TR2008-024
| Localization via TDOA in a UWB Sensor Network Using Neural Networks | |||
| Citation: | Ergut, S.; Rao, R.R.; Dural, O.; Sahinoglu, Z., "Localization via TDOA in a UWB Sensor Network using Neural Networks", IEEE International Conference on Communications (ICC), ISBN: 978-1-4244-2075-9, pp. 2398-2403, May 2008 (IEEE Explore) | ||
| Date: | June 2008 | ||
| MERL Contact: | Zafer Sahinoglu | ||
In an Ultra-wide band (UWB) sensor network signal reflections from objects can be used to accurately determine the location. UWB signals are preferred in these types of sensor networks since they provide a very good resolution due to their fine time granularity. We propose an artificial neural network based localization to detect single object in a sensor network and compare its performance to Cramer-Rao bound and least squares estimator. Then we propose a two phase algorithm for multiple object detection and evaluate the algorithm for the case when there are two objects in a sensor network with three nodes. | |||
| |||
