Journal ArticleDOI
Mooring alignment for marine SINS using the digital filter
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TLDR
In this article, a novel method processing the gyro and accelerometer measurements with infinite impulse response (IIR) digital low-pass filter to remove the high frequency noise is investigated for marine mooring alignment.About:
This article is published in Measurement.The article was published on 2010-12-01. It has received 43 citations till now. The article focuses on the topics: Inertial navigation system & Mooring.read more
Citations
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Journal ArticleDOI
A novel backtracking navigation scheme for Autonomous Underwater Vehicles
TL;DR: A novel backtracking navigation scheme is employed that is able to reach the accuracy of within 0.3% of the distance travelled and can be launched without waiting for the completeness of the alignment.
Journal ArticleDOI
An EMD threshold de-noising method for inertial sensors
TL;DR: In this article, the authors analyzed the noise in Intrinsic Mode Functions (IMFs) decomposed by empirical mode decomposition (EMD) and showed that wavelet threshold de-noising is poor at suppressing colored noise while EMD is effective on reducing sensor errors due to its close association with proper noise model.
Journal ArticleDOI
A novel algorithm for marine strapdown gyrocompass based on digital filter
Qian Li,Yueyang Ben,Feng Sun +2 more
TL;DR: Wang et al. as discussed by the authors proposed a novel algorithm which is suitable for marine strapdown gyrocompass, where gyro outputs are used to track the body frame rotation, and the observation of the pure gravity slow drift in the inertial gives the navigation frame rotation.
Journal ArticleDOI
A robust self-alignment method for ship's strapdown INS under mooring conditions.
TL;DR: A robust solution to solve the problem of rapidness and accuracy of the proposed self-alignment method and the good de-noising performance of the novel prefilter named hidden Markov model based Kalman filter (HMM-KF).
Journal ArticleDOI
In-Motion Filter-QUEST Alignment for Strapdown Inertial Navigation Systems
TL;DR: The simulation and the field trial results demonstrate that the presented method is applicable to the in-motion initial alignment, and it can serve as a nice initial alignment method in the follow-on fine alignment process and navigation process.
References
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Book
Strapdown inertial navigation technology
David Titterton,John Weston +1 more
TL;DR: In this paper, the physical principles of inertial navigation, the associated growth of errors and their compensation, and their application in a broad range of applications are discussed, drawing current technological developments and providing an indication of potential future trends.
MonographDOI
Digital Signal Processing: System Analysis and Design
TL;DR: In this paper, the authors cover all the major topics in digital signal processing (DSP) design and analysis, supported by MATLAB examples and other modeling techniques, and explain clearly and concisely why and how to use DSP systems; how to approximate a desired transfer function characteristic using polynomials and ratios of polynomial coefficients; why an appropriate mapping of a transfer function onto a suitable structure is important for practical applications.
Journal ArticleDOI
Wavelet de-noising for IMU alignment
TL;DR: In this paper, a wavelet de-noising method was applied on a navigational grade inertial measurement unit (LTN90-100) to remove the high frequency noise components.
Journal ArticleDOI
Error analysis of analytic coarse alignment methods
TL;DR: In this paper, two analytic coarse alignment methods and the associated error analyses are provided for strapdown inertial navigation systems, which are derived from the same measurements of the local gravity vector and Earth rate, their error formulations are not completely identical.
Journal ArticleDOI
Multiposition alignment of strapdown inertial navigation system
TL;DR: In this paper, the authors demonstrate that the stationary alignment of strapdown inertial navigation system (SDINS) can be improved by employing the multiposition/technique using an observability analysis, and they show that an optimal two position alignment not only satisfies complete observability conditions but also minimizes alignment errors.