Performance Evaluation of IMU and DVL Integration in Marine Navigation.

Doppler velocity log global navigation satellite system inertial measurement unit marine navigation

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
04 Feb 2021
Historique:
received: 26 12 2020
revised: 22 01 2021
accepted: 01 02 2021
entrez: 9 2 2021
pubmed: 10 2 2021
medline: 10 2 2021
Statut: epublish

Résumé

Global navigation satellite system (GNSS) spoofing poses a significant threat to maritime logistics. Many maritime electronic devices rely on GNSS time, positioning, and speed for safe vessel operation. In this study, inertial measurement unit (IMU) and Doppler velocity log (DVL) devices, which are important in the event of GNSS spoofing or outage, are considered in conventional navigation. A velocity integration method using IMU and DVL in terms of dead-reckoning is investigated in this study. GNSS has been widely used for ship navigation, but IMU, DVL, or combined IMU and DVL navigation have received little attention. Military-grade sensors are very expensive and generally cannot be utilized in smaller vessels. Therefore, this study focuses on the use of consumer-grade sensors. First, the performance of a micro electromechanical system (MEMS)-based yaw rate angle with DVL was evaluated using 60 min of raw data for a 50 m-long ship located in Tokyo Bay. Second, the performance of an IMU-MEMS using three gyroscopes and three accelerometers with DVL was evaluated using the same dataset. A gyrocompass, which is equipped on the ship, is used as a heading reference. The results proved that both methods could achieve less than 1 km horizontal error in 60 min.

Identifiants

pubmed: 33557144
pii: s21041056
doi: 10.3390/s21041056
pmc: PMC7913909
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2019 Sep 07;19(18):
pubmed: 31500228
Sensors (Basel). 2020 Oct 28;20(21):
pubmed: 33126671
Sensors (Basel). 2020 Aug 20;20(17):
pubmed: 32825329
Sensors (Basel). 2017 Apr 25;17(5):
pubmed: 28441330
Sensors (Basel). 2019 Nov 26;19(23):
pubmed: 31779227

Auteurs

Gen Fukuda (G)

Department of Maritime Systems Engineering, Tokyo University of Marine Science and Technology, Tokyo 135-8533, Japan.

Daisuke Hatta (D)

Maritime Technology and Logistics, Tokyo University of Marine Science and Technology, Tokyo 135-8533, Japan.

Xiaoliang Guo (X)

Maritime Technology and Logistics, Tokyo University of Marine Science and Technology, Tokyo 135-8533, Japan.

Nobuaki Kubo (N)

Department of Maritime Systems Engineering, Tokyo University of Marine Science and Technology, Tokyo 135-8533, Japan.

Classifications MeSH