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