Adaptive “Cubature and Sigma Points” Kalman Filtering Applied to MEMS IMU/GNSS Data Fusion during Measurement Outlier

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Sensor Technology

ISSN Print: 2161-122X
ISSN Online: 2161-1238
www.scirp.org/journal/jst
E-mail: jst@scirp.org

Google-based Impact Factor: 2.07
Citations h5-index & Ranking*

Journals Menu

"Adaptive “Cubature and Sigma Points” Kalman Filtering Applied to MEMS IMU/GNSS Data Fusion during Measurement Outlier"
written by Hamza Benzerrouk, Hassen Salhi, Alexander Nebylov,
published by Journal of Sensor Technology, Vol.3 No.4, 2013

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Laplace $${\fancyscript {l}} _ {1} $$ l 1 Square-Root Cubature Kalman Filter for Non-Gaussian Measurement Noises
	Circuits, Systems, and Signal Processing, 2022

[2]	A Low-Cost Method of Improving the GNSS/SINS Integrated Navigation System using Multiple Receivers
	2020

[3]	Analysis of accuracy in evaluating gravimetric coefficients in the algorithm of spatial monitoring under conditions of excess
	2016

[4]	Unmanned Aerial Photogrammetric Systems in the Service of Engineering Geodesy
	2016

[5]	АНАЛІЗ ТОЧНОСТІ ОЦІНЮВАННЯ ВАГОВИХ КОЕФІЦІЄНТІВ В АЛГОРИТМІ ПРОСТОРОВОГО МОНІТОРИНГУ В УМОВАХ НАДЛИШКОВОСТІ
	2016

[6]	Анализ точности оценивания весовых коэффициентов в алгоритме пространственного мониторинга в условиях избыточности
	2016

[7]	State and Parameter Estimation for Dynamic Systems: Some Investigations
	2016

[8]	Design Issues for MEMS-Based Pedestrian Inertial Navigation Systems.
	Science & Education of Bauman MSTU/Nauka i Obrazovanie of Bauman MSTU, 2015

[9]	Improved Underwater Integrated Navigation System using Unscented Filtering Approach
	Journal of Navigation, 2015

[10]	Россия, Сибирский федеральный университет Национальный исследовательский Томский политехнический университет
	Вопросы разработки инерциальных пешеходных навигационных систем на основе МЭМС-датчиков, 2015

[11]	Вопросы разработки инерциальных пешеходных навигационных систем на основе МЭМС-датчиков
	2015

[12]	Laplace $${\fancyscript {l}} _ {1} $$ Square-Root Cubature Kalman Filter for Non-Gaussian Measurement Noises
	J He

[1]	Laplace $${\fancyscript{l}}_{1}$$ Square-Root Cubature Kalman Filter for Non-Gaussian Measurement Noises Circuits, Systems, and Signal Processing, 2022 DOI:10.1007/s00034-021-01936-x

[2]	A Low-Cost Method of Improving the GNSS/SINS Integrated Navigation System Using Multiple Receivers Electronics, 2020 DOI:10.3390/electronics9071079

[3]	Improved Underwater Integrated Navigation System using Unscented Filtering Approach Journal of Navigation, 2016 DOI:10.1017/S0373463315000752

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Sensor Technology

Journal of Sensor Technology

Journals Menu

Home

About SCIRP

Service

Policies