Improving Adaptive Kalman Estimation in GPS/INS Integration

Article Properties

Language

English
DOI (url)

10.1017/s0373463307004316
Publication Date

2007/08/09
Journal

Journal of Navigation
Indian UGC (Journal)
Refrences

14
Citations

7
Weidong Ding
Jinling Wang
Chris Rizos
Doug Kinlyside

Abstract

Cite

Ding, Weidong, et al. “Improving Adaptive Kalman Estimation in GPS INS Integration”. Journal of Navigation, vol. 60, no. 3, 2007, pp. 517-29, https://doi.org/10.1017/s0373463307004316.

Ding, W., Wang, J., Rizos, C., & Kinlyside, D. (2007). Improving Adaptive Kalman Estimation in GPS/INS Integration. Journal of Navigation, 60(3), 517-529. https://doi.org/10.1017/s0373463307004316

Ding W, Wang J, Rizos C, Kinlyside D. Improving Adaptive Kalman Estimation in GPS/INS Integration. Journal of Navigation. 2007;60(3):517-29.

Journal Categories

Geography

Anthropology

Recreation

Oceanography

Naval Science

Technology

Engineering (General)

Civil engineering (General)

Refrences

Citations

Citations Analysis

Category	Category Repetition
Technology: Engineering (General). Civil engineering (General)	4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks	2
Science: Mathematics: Instruments and machines	1
Technology: Motor vehicles. Aeronautics. Astronautics	1
Science	1

The first research to cite this article was titled Application of an Adaptive UKF in the Frequency Offset Estimation of OFDM with Colored Noise and was published in 2013. The most recent citation comes from a 2023 study titled Application of an Adaptive UKF in the Frequency Offset Estimation of OFDM with Colored Noise . This article reached its peak citation in 2022 , with 2 citations.It has been cited in 6 different journals, 16% of which are open access. Among related journals, the Applied Mechanics and Materials cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.