Title :
Two hybrid RSS/TOA localization techniques in cognitive radio system
Author :
Panichcharoenrat, Tawan ; Lee, Wei-Jen
Author_Institution :
Dept. of Electr. & Comput. Eng., King Mongkut´s Univ. of Technol., Bangkok, Thailand
Abstract :
In this paper, we proposed two hybrid RSS/TOA localization techniques in cognitive radio system including serial and parallel schemes. The proposed methods joint two location estimation techniques such as received signal strength (RSS) and time of arrival (TOA). First, we divide the consideration area into two cases: inner area and outer area using convex hull algorithm. We can conclude that the RSS is suitable for using in inner area and TOA should be chosen to use in outer area. Second, we enhance accuracy of RSS technique by applying the improved best linear unbiased estimation (iBLUE) method. In simulation results, we compare the performance and time duration of the RSS, TOA estimation and the two proposed methods: serial scheme and parallel scheme with iBLUE. Our simulation shows that the proposed method in serial scheme with iBLUE has better performance than RSS and TOA. Moreover, it is faster than TOA about 60%.
Keywords :
cognitive radio; convex programming; estimation theory; time-of-arrival estimation; cognitive radio system; convex hull algorithm; hybrid RSS-TOA localization techniques; iBLUE method; improved best linear unbiased estimation method; inner area; location estimation techniques; outer area; parallel schemes; received signal strength; serial schemes; time of arrival; Estimation; Interference; Cognitive radio; Localization; Received signal strength; Time of arrival;
Conference_Titel :
Knowledge and Smart Technology (KST), 2014 6th International Conference on
Conference_Location :
Chonburi
Print_ISBN :
978-1-4799-1423-4
DOI :
10.1109/KST.2014.6775388