Two Hybrid RSS/TOA Localization Techniques in Cognitive Radio System

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%.