BOC Signal Acquisition Algorithm Based on Similar Enfoldment
Joint Authors
Han, Qi
Zhu, Kejia
Hu, Caibo
Zhao, He
Wu, Shuang
Fu, Yu
Source
International Journal of Aerospace Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-25
Country of Publication
Egypt
No. of Pages
19
Abstract EN
A BOC signal has been widely used in the Global Navigation Satellite System (GNSS).
Although the BOC signal has many advantages, the autocorrelation function (ACF) of the BOC signal has lots of peaks, which makes signal acquisition difficult.
This paper proposes a similar enfoldment acquisition (SEA) algorithm, which can be applied to sin-BOC and cos-BOC signals, with even and odd modulation orders.
The SEA algorithm utilizes the similarity between the main peak and the secondary peak to construct a new ACF to eliminate the ambiguity of the BOC signal.
This paper simulates the acquisition performance of the SEA algorithm, Martin algorithm, and SCPC algorithm, while the simulation result shows that the SEA algorithm is superior to the Martin algorithm and SCPC algorithm.
Since the SEA algorithm does not need filters or auxiliary signals, its complexity is lower than that of the Martin algorithm and SCPC algorithm.
American Psychological Association (APA)
Han, Qi& Zhu, Kejia& Hu, Caibo& Zhao, He& Wu, Shuang& Fu, Yu. 2020. BOC Signal Acquisition Algorithm Based on Similar Enfoldment. International Journal of Aerospace Engineering،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1168060
Modern Language Association (MLA)
Han, Qi…[et al.]. BOC Signal Acquisition Algorithm Based on Similar Enfoldment. International Journal of Aerospace Engineering No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1168060
American Medical Association (AMA)
Han, Qi& Zhu, Kejia& Hu, Caibo& Zhao, He& Wu, Shuang& Fu, Yu. BOC Signal Acquisition Algorithm Based on Similar Enfoldment. International Journal of Aerospace Engineering. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1168060
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168060