@article {10.3844/ajassp.2016.372.379,
article_type = {journal},
title = {Frequency Extended-MUSIC Method for DOA Estimation in Indoor IR-UWB Environment},
author = {Meknessi, Hajer and Harrabi, Ferid and Gharsallah, Ali},
volume = {13},
year = {2016},
month = {Apr},
pages = {372-379},
doi = {10.3844/ajassp.2016.372.379},
url = {https://thescipub.com/abstract/ajassp.2016.372.379},
abstract = {In recent years, many researchers have been developed in order to ensure an accurate localization. So many techniques have been used the direction of arrival to estimate and track of IR-UWB signals. In this study, we propose a new direction of arrival estimation method for impulse radio UWB signals. This technique based on Extended-Music algorithm. The proposed method has high performances in the multipath channels. Simulation results show that it has more accuracy then others high resolution algorithms, moreover, It is compared the performance corresponding to the Cramer-Rae bound (CRB).},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}