INS ALIGNMENT IMPROVEMENT USING REST HEADING AND ZERO-VELOCITY UPDATES

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

FATHI M.; MOHAMMADI A.; GHAHRAMANI N.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Space Science and Technology Year:2016 | Volume:8 | Issue:4 Page(s): 45-51

Download Full-Text

Persian Verion

View:

899

Download:

264

Cites:

Information Journal Paper

Title

INS ALIGNMENT IMPROVEMENT USING REST HEADING AND ZERO-VELOCITY UPDATES

Author(s)

FATHI M. | MOHAMMADI A. | GHAHRAMANI N. | Issue Writer Certificate

Keywords

AIDED INERTIAL NAVIGATION SYSTEMQ2

INSQ2

ALIGNMENTQ2

KALMAN FILTERQ2

ZUPTQ2

Abstract

In this paper the feasibility of rapid ALIGNMENT and calibration of a static strapdown inertial navigation system (INS) is evaluated. Resting conditions including zero-velocity update and a known initial heading direction as virtual external measurement data are integrated with INS data. By comparing the virtual external measurements with the estimates of those generated by the aligning INS, estimates of the velocity and heading errors can be obtained and these errors will be propagated in the INS as a result of ALIGNMENT inaccuracies. An extended KALMAN FILTER based on an augmented process model and a measurement model is designed to estimate ALIGNMENT attitudes and biases of inertial sensors. Monte Carlo simulation results show that the integration of INS with rest conditions is very effective in rapid and fine leveling and azimuth ALIGNMENT of INS, but this type of data fusion due to poor acceleration and angular rates of static condition has no chance of valuable calibration of all inertial sensor biases.

Cites

No record.

References

No record.

Cite

APA: Copy

FATHI, M., MOHAMMADI, A., & GHAHRAMANI, N.. (2016). INS ALIGNMENT IMPROVEMENT USING REST HEADING AND ZERO-VELOCITY UPDATES. JOURNAL OF SPACE SCIENCE AND TECHNOLOGY (JSST), 8(4), 45-51. SID. https://sid.ir/paper/149875/en

Vancouver: Copy

FATHI M., MOHAMMADI A., GHAHRAMANI N.. INS ALIGNMENT IMPROVEMENT USING REST HEADING AND ZERO-VELOCITY UPDATES. JOURNAL OF SPACE SCIENCE AND TECHNOLOGY (JSST)[Internet]. 2016;8(4):45-51. Available from: https://sid.ir/paper/149875/en

IEEE: Copy

M. FATHI, A. MOHAMMADI, and N. GHAHRAMANI, “INS ALIGNMENT IMPROVEMENT USING REST HEADING AND ZERO-VELOCITY UPDATES,” JOURNAL OF SPACE SCIENCE AND TECHNOLOGY (JSST), vol. 8, no. 4, pp. 45–51, 2016, [Online]. Available: https://sid.ir/paper/149875/en

Related Journal Papers