Fuzzy adaptive strong tracking scaled unscented Kalman filter for initial alignment of large misalignment angles

Author:

Li Jing1,Song Ningfang1,Yang Gongliu1,Jiang Rui1

Affiliation:

1. School of Instrumentation Science and Opto-electronics Engineering, Beihang University, 37 Xueyuan Road, Beijing 100191, China

Funder

National Natural Science Foundation of China (NSFC)

Publisher

AIP Publishing

Subject

Instrumentation

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1. A Robust In-Motion Alignment Method for a DVL-Aided SINS With Latitude Uncertainty;IEEE Transactions on Instrumentation and Measurement;2024

2. An Optimal Indirect In-Motion Coarse Alignment Method for GNSS-Aided SINS;IEEE Sensors Journal;2022-04-15

3. AN OPTIMAL INNOVATION BASED ADAPTIVE ESTIMATION KALMAN FILTER FOR ACCURATE POSITIONING IN A VEHICULAR AD-HOC NETWORK;INT J AP MAT COM-POL;2021

4. Research of fuzzy adaptive filter in the problem SINS;XLIV ACADEMIC SPACE CONFERENCE: dedicated to the memory of academician S.P. Korolev and other outstanding Russian scientists – Pioneers of space exploration;2021

5. A robust in-motion attitude alignment method for odometer-aided strapdown inertial navigation system;Review of Scientific Instruments;2020-12-01

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