Robust TOA source localisation algorithm using prior location
- Authors
- Park, Chee-Hyun; Chang, Joon Hyuk
- Issue Date
- Mar-2019
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Keywords
- mean square error methods; time-of-arrival estimation; sensor placement; robust TOA source localisation algorithm; prior location; time-of-arrival source localisation algorithms; range measurements; location parameter; previous information; existing measurement-based method; mean square error; estimate; cost function; penalty function; squared error function
- Citation
- IET RADAR SONAR AND NAVIGATION, v.13, no.3, pp.384 - 391
- Indexed
- SCIE
SCOPUS
- Journal Title
- IET RADAR SONAR AND NAVIGATION
- Volume
- 13
- Number
- 3
- Start Page
- 384
- End Page
- 391
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3283
- DOI
- 10.1049/iet-rsn.2018.5238
- ISSN
- 1751-8784
- Abstract
- This study considers robust time-of-arrival (TOA) source localisation algorithms. Range measurements are used to estimate the location parameter for TOA source localisation and previous information on the position of the source is employed to improve the existing measurement-based method. The proposed methods are categorised into two types. First, the mean square error between the true parameter and estimate is minimised. Second, the cost function where the penalty function is combined with the squared error function between the measurement and estimate is minimised. The positioning accuracy of the proposed algorithm is much higher than that of the conventional methods in regimes of large noise variances.
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3283)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.