Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Chee-Hyun Park"'
Autor:
Chee‐Hyun Park, Joon‐Hyuk Chang
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 6, Pp 825-837 (2024)
Abstract Robust localisation techniques that utilise distance observations to determine the location are focused upon. In urban environments with limited visibility and high population density, the presence of non‐line‐of‐sight signals can intr
Externí odkaz:
https://doaj.org/article/16275c670d9249b5a87a7a48efb58a34
Autor:
Chee-Hyun Park, Joon-Hyuk Chang
Publikováno v:
IEEE Access, Vol 11, Pp 61468-61480 (2023)
This paper presents robust localization techniques that calculate location using distance observations. In enclosed and heavily populated urban environments, the positive measurement bias introduced by a non-line-of-sight signal can have a considerab
Externí odkaz:
https://doaj.org/article/cb1bb3af1aca4b2e9150d8897acd7137
Autor:
Chee‐Hyun Park, Joon‐Hyuk Chang
Publikováno v:
Electronics Letters, Vol 58, Iss 22, Pp 850-852 (2022)
Abstract Parametric approaches are primarily used in the context of robust localization. However, the localization performance is degraded when there is a mismatch between the assumed model and the actual situation. To circumvent this problem, in thi
Externí odkaz:
https://doaj.org/article/da934ab7bb624c6a8dea83759b4b5263
Autor:
Chee-Hyun Park, Joon-Hyuk Chang
Publikováno v:
IEEE Access, Vol 10, Pp 57080-57093 (2022)
This paper presents robust positioning methods that use range measurements to estimate location parameters. The existing maximum correntropy criterion-based localization algorithm uses only the $l_{2}$ norm minimization. Therefore, the localization p
Externí odkaz:
https://doaj.org/article/4832bc3837b14256b2d2193b1e65ab61
Autor:
Chee-Hyun Park, Joon-Hyuk Chang
Publikováno v:
IEEE Access, Vol 9, Pp 4059-4071 (2021)
Robust localization methods that employ distance measurements to predict the position of an emitter are proposed in this paper. The occurrence of outliers due to the non-line-of sight (NLOS) propagation of signals can drastically degrade the localiza
Externí odkaz:
https://doaj.org/article/eb194d83f5204ca4b2a25ea5100fc6e0
Autor:
Chee-Hyun Park, Joon-Hyuk Chang
Publikováno v:
IEEE Access, Vol 7, Pp 35919-35928 (2019)
We present robust range-based localization algorithms for which range measurements are used to estimate the location parameter. Non-line-of-sight (NLOS) propagation of signal can deteriorate the estimation performance severely in the indoor and crowd
Externí odkaz:
https://doaj.org/article/623b6ead677348df93fe26eced48d0cd
Autor:
Chee-Hyun Park, Joon-Hyuk Chang
Publikováno v:
IEEE Access, Vol 7, Pp 148198-148207 (2019)
In this paper, we present robust localization algorithms that use range measurements. The least median of squares (LMedS)-weighted least squares (WLS), LMedS-spherical simplex unscented transform (SSUT) based WLS and Tukey-based extended Kalman filte
Externí odkaz:
https://doaj.org/article/2bbd15a9e0044fc785d7d449b8cdaced
Autor:
Chee-Hyun Park, Joon-Hyuk Chang
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2017, Iss 1, Pp 1-10 (2017)
Abstract We propose a line-of-sight (LOS)/non-line-of-sight (NLOS) mixture source localization algorithms that utilize the weighted block Newton (WBN) and variable step size WBN (VSSWBN) method, in which the weighting matrix is determined in the form
Externí odkaz:
https://doaj.org/article/8f80a7a6e5434e48b27fd78e21155bdf
Autor:
Chee-Hyun Park, Joon-Hyuk Chang
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 12 (2016)
In this article, we propose a line-of-sight/non-line-of-sight time-of-arrival source localization algorithm that utilizes the weighted least squares. The proposed estimator combines multiple sorted measurements using the spatial sign concept, Mahalan
Externí odkaz:
https://doaj.org/article/40ad81e010374f69a1618f5b7963b620
Autor:
Chee-Hyun Park, Joon-Hyuk Chang
Publikováno v:
IEEE Transactions on Signal Processing. 70:5639-5651
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd325fdad4867907e122f8b03e321692
https://doi.org/10.1109/tsp.2022.3224642
https://doi.org/10.1109/tsp.2022.3224642