Distance Estimation Based on Statistical Models of Received Signal Strength-Reference-Cited by-同舟云学术

Distance Estimation Based on Statistical Models of Received Signal Strength

Published:2016 Issue:1 Volume:E99.A Page:199-203
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

FUJII Masahiro¹,HIROTA Yuma¹,HATANO Hiroyuki¹,ITO Atsushi¹,WATANABE Yu¹

Affiliation:

1. Graduate School of Engineering, Utsunomiya University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E99.A/1/E99.A_199/_pdf

Reference9 articles.

1. [1] A. Goldsmith, Wireless Communications, Cambridge Univ. Press, 2005.

2. [2] S. Hara, D. Zhao, K. Yanagihara, J. Taketsugu, K. Fukui, S. Fukunaga, and K. Kitayama, “Propagation characteristics of IEEE 802.15.4 radio signal and their application for location estimation,” 2005 IEEE 61st Vehicular Technology Conference, pp.97-101, 2005.

3. [3] S.D. Chitte, S. Dasgupta, and Z. Ding, “Distance estimation from received signal strength under log-normal shadowing: Bias and variance,” IEEE Signal Process. Lett., vol.16, no.3, pp.216-218, 2009.

4. [4] G. Mao, B.D.O. Anderson, and B. Fidan, “Path loss exponent estimation for wireless sensor network localization,” Computer Networks, vol.51, no.10, pp.2467-2483, 2007.

5. [5] A. Faheem, R. Virrankoski, and M. Elmusrati, “Improving RSSI based distance estimation for 802.15.4 wireless sensor networks,” 2010 IEEE International Conference on Wireless Information Technology and Systems, pp.1-4, 2010.