Browse > Article
http://dx.doi.org/10.7840/kics.2014.39C.8.643

Analysis of Localization Scheme for Ship Application Using Received Signal Strength  

Lee, Jung-Kyu (Institute of New Media and Communications, Dept. of Electrical and Computer Engineering, Seoul National University)
Lee, Seong Ro (Dept. of Information & Electronics Engineering, Mokpo National University)
Kim, Seong-Cheol (Institute of New Media and Communications, Dept. of Electrical and Computer Engineering, Seoul National University)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.39C, no.8, 2014 , pp. 643-650 More about this Journal
Abstract
Recently, the wireless communication applications are studied in various environment by the development of short range communication system like wireless sensor networks. This paper presents the analysis of localization schemes for ship application using received signal strength. The localization schemes using received signal strength from wireless networks are classified under two methods, which are Range based method and Range free method. Range based methods estimate the location with least square estimation based on estimated distance using path-loss model. Range free methods estimated the location with the information of anchor nodes linked to target. Simulation results show the appropriate localization scheme for each cabin environments based on the empirical path-loss model in warship's internal space.
Keywords
Localization; iteration scheme; navy warship channel model; received signal strength;
Citations & Related Records
연도 인용수 순위
  • Reference
1 A. F. Molisch, et al., IEEE 802.15.4a channel Model-Final report Tech. Rep. Doc. IEEE 802.15-04-0662-02-004a, 2005.
2 J. Yan, et al., "Review of range-based positioning algorithms," IEEE Aero. and Electron. Syst. Mag., vol. 28, no. 8, pp. 2-27, Aug. 2013.   DOI   ScienceOn
3 J. K. Lee, S. Y. Sung, J. H. Park, and S. C. Kim, "The analysis of path loss model for indoor localization using ZigBee," in Proc. KIEES Conf., p. 161, Busan, Korea, Jul. 2009.
4 B. W. Parkinson and J. J. Spilker, Global Positioning Systems: Theory and Applications, vol. 1, Progress Astronautics and Aeronautics, 1996.
5 T. Wigren, "Adaptive Enhanced Cell-ID Fingerprinting Localization by Clustering of Precise Position Measurements," IEEE Trans. Veh. Technol., vol. 56, no. 5, pp. 3199-3209, Sept. 2007.   DOI   ScienceOn
6 P. Bahl, and V. N. Padmanabhan, "RADAR : An in-building RF-based user location and tracking system," IEEE INFOCOM, vol. 2, 26-30 pp. 775-784, Mar. 2000.
7 R. Kaune, "Accuracy studies for TDOA and TOA localization," in Proc. 15th Int. Conf. FUSION, pp. 408-415, Jul. 2012.
8 P. Setlur, G. E. Smith, F. Ahmad, and M. G. Amin, "Target localization with a single sensor via multipath exploitation," IEEE Trans. Aero. Electron. Syst., vol. 48, no. 3, pp. 1996-2014, Jul. 2012.   DOI   ScienceOn
9 N. Patwari, J. N. Ash, S. Kyperountas, R. L. Moses, and N. S. Correal, "Locating the Nodes : Cooperative localization in wireless sensor networks," IEEE Signal Process. Mag., vol. 22 pp. 54-69, Jul. 2005.   DOI   ScienceOn
10 J. Lee, et al., "An efficient trilateration algorithm for wireless sensor network localization," in Proc. IEEE VTS APWCS, 2011.
11 Z. Yang and Y. Liu, "Quality of trilateration: Confidence-based iterative localization," IEEE Trans. Parallel Distrib. Syst., vol. 21, no. 5, pp. 631-640, May 2010.   DOI   ScienceOn
12 N. Bulusu, J. Heidemann, and D. Estrin, "GPS-less low-cost outdoor localization for very small devices," IEEE Pers. Commun., vol. 7, no. 5, pp. 28-34, Oct. 2000.
13 D. G. Choi, J. K. Lee, Y. H. Kim, and S. C. Kim, "Analysis of path loss model and channel characteristics at 2.4GHz on navy warship's internal space," J. KICS, vol. 36, no. 11B, pp. 1422-1432, 2011.   DOI