Robust Localization Based on ML-Type, Multi-Stage ML-Type, and Extrapolated Single Propagation UKF Methods Under Mixed LOS/NLOS Conditions
- Authors
- Park, Chee-Hyun; Chang, Joon-Hyuk
- Issue Date
- Sep-2020
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Estimation; Kalman filters; Wireless communication; Computational complexity; Pollution measurement; Probability density function; Standards; Localization; Robust; maximum likelihood-type estimator (M estimator); multi-stage maximum likelihood-type estimator (MM estimator); extrapolated single propagation unscented Kalman filter; weighted least squares
- Citation
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.19, no.9, pp.5819 - 5832
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Volume
- 19
- Number
- 9
- Start Page
- 5819
- End Page
- 5832
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/8945
- DOI
- 10.1109/TWC.2020.2997455
- ISSN
- 1536-1276
- Abstract
- This paper presents robust localization algorithms that use range measurements to estimate the location parameters. The non-line-of-sight (NLOS) propagation of a signal can severely deteriorate the estimation performance in indoor and population-dense urban areas. Therefore, the robust localization algorithms are considered in this paper. In particular, the robust statistics-based localization is dealt with. The maximum likelihood (ML)-type and multi-stage ML-type method-based weighted least squares (WLS) algorithms and robust extrapolated single propagation unscented Kalman filter (ESPUKF) are proposed for mixed line-of-sight (LOS)/NLOS environments. Based on extensive simulations, the positioning accuracies of the proposed methods are found to be superior to those of conventional methods in the mildly and moderately mixed LOS/NLOS conditions. In addition, analyses are conducted on the mean square error (MSE), asymptotical unbiasedness and computational complexity of the proposed algorithms.
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.