IEEE 802.15.4a CSS-based mobile object locating system using sequential Monte Carlo method
- Authors
- Lee, Seungwoo; Shin, Hyojeong; Ha, Rhan; Cha, Hojung
- Issue Date
- 1-Feb-2014
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- IEEE 802.15.4a; Chirp Spread Spectrum; Mobile object localization; Sequential Monte Carlo; Particle filter
- Citation
- COMPUTER COMMUNICATIONS, v.38, pp.13 - 25
- Journal Title
- COMPUTER COMMUNICATIONS
- Volume
- 38
- Start Page
- 13
- End Page
- 25
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/16752
- DOI
- 10.1016/j.comcom.2013.10.008
- ISSN
- 0140-3664
- Abstract
- With the widespread use of mobile devices equipped with various types of sensors, the need for location awareness in mobile environments is increasing. Many range-based approaches focus on localization accuracy but are vulnerable to ranging noises. In this paper, we propose a practical mechanism for a mobile object locating system. The mechanism applies the bootstrap particle filter and likelihood functions to the IEEE802.15.4a Chirp Spread Spectrum (CSS) ranging functionality. Based on the empirical characteristics of the prototype hardware, we developed an accurate and practical localization mechanism by using a CSS-specific adaptive likelihood distribution in real environments. The simulation and experiment results show that the proposed scheme outperforms previous techniques. (C) 2013 Elsevier B.V. All rights reserved.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - ETC > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/16752)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.