Side peak cancellation by adaptive non coherent acquisition for the Galileo E1 signal
| dc.contributor.author | Dehouche, Siham | |
| dc.contributor.author | Hammadouche, Mhamed | |
| dc.date.accessioned | 2024-03-05T08:50:12Z | |
| dc.date.available | 2024-03-05T08:50:12Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | In this paper we propose a new method for side peak cancellation at the acquisition stage of GNSS (Global Navigation Satellite System) signals based on the combination of the non-coherent integrations technique and the adaptive detection CFAR (Constant False Alarm Rate), we applied the method to the acquisition of the Galileo E1 signal in an AWGN (Additive White Gaussian Noise) channel , we developed the mathematical expressions of false alarms and detection probabilities of the proposed structure, which allowed us to analyze its performances and compare it with conventional acquisition. | en_US |
| dc.identifier.isbn | 979-835033256-8 | |
| dc.identifier.uri | 10.1109/SSD58187.2023.10411213 | |
| dc.identifier.uri | https://ieeexplore.ieee.org/document/10411213 | |
| dc.identifier.uri | https://dspace.univ-boumerdes.dz/handle/123456789/13649 | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc | en_US |
| dc.relation.ispartofseries | 2023 20th International Multi-Conference on Systems, Signals & Devices (SSD), Mahdia, Tunisia, 2023;pp. 756-762 | |
| dc.subject | Acquisition | en_US |
| dc.subject | CFAR | en_US |
| dc.subject | Galileo | en_US |
| dc.subject | Gaussian | en_US |
| dc.subject | GNSS | en_US |
| dc.title | Side peak cancellation by adaptive non coherent acquisition for the Galileo E1 signal | en_US |
| dc.type | Article | en_US |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- Side_peak_cancellation_by_adaptive_non_coherent_acquisition_for_the_Galileo_E1_signal.pdf
- Size:
- 1023.16 KB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description:
