• DocumentCode
    115303
  • 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
  • fYear
    2014
  • fDate
    30-31 Jan. 2014
  • Firstpage
    23
  • Lastpage
    28
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge and Smart Technology (KST), 2014 6th International Conference on
  • Conference_Location
    Chonburi
  • Print_ISBN
    978-1-4799-1423-4
  • Type

    conf

  • DOI
    10.1109/KST.2014.6775388
  • Filename
    6775388