A Fast Acquisition Algorithm for Hybrid Signals of 5G and BeiDou B1
-
Published:2023-07-03
Issue:13
Volume:13
Page:7818
-
ISSN:2076-3417
-
Container-title:Applied Sciences
-
language:en
-
Short-container-title:Applied Sciences
Author:
Yang Xu1ORCID, Zhuang Chen2ORCID, Feng Wenquan1, Wang Qiang1, Yang Zhe1, Hu Shan1, Yang Xu1
Affiliation:
1. School of Electronic & Information Engineering, Beihang University, Beijing 100080, China 2. Hefei Innovation Research Institute of Beihang University, Hefei 230012, China
Abstract
With the large-scale use of BeiDou navigation and 5G technology worldwide, integrating BeiDou navigation and communication has become a hot research topic in navigation and positioning technology. Low-cost, miniaturized, and susceptible mixed-signal receivers will become the future receiver technology development trend. However, the current receiver technology still faces the challenge of further improving the positioning service capability and communication quality, which includes the lack of practical analysis of the compatibility between signals and the lack of mixed-signal processing capability of the receiver baseband key technology. To address these problems, we start by analyzing the signal part of 5G out-of-band signals falling into the BD B1 signal band, conduct a detailed analysis of the mixed signal regime and frequency planning, and design a hybrid receiver architecture compatible with both signals, and propose an SC-PMF-FFT fast capture algorithm based on strong correlation, which takes advantage of the strong correlation of signals broadcast on the BD B1 frequency point from B1I to B1C, and reuses the structure of the CDMA system signal capture algorithm to complete the fast capture of 5G signals using an OFDM system. The experiments show that the method can capture the BeiDou B1 signal with a sensitivity of −154 dBm and a whole constellation capture time of no more than 40 ms with the inlet power of the 5G signal not exceeding −45 dBw.
Funder
National Natural Science Foundation of China
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference35 articles.
1. del Peral-Rosado, J.A., Nolle, P., Rothmaier, F., Razavi, S.M., Lindmark, G., Jiang, X., Shrestha, D., Gunnarsson, F., Parsawar, S., and Mundlamuri, R. (2022, January 19–23). Proof-of-Concept of Dedicated Aerial 5G and GNSS Testbed for Enhanced Hybrid Positioning. Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), Denver, CO, USA. 2. Fabius, M., Lapeyre, D., Messager, F., Kiely, I., Arzel, L., and Pomies, A. (2021, January 20–24). GEONAV IoT-Study of Hybrid 5G/GNSS Positioning. Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), St. Louis, MO, USA. 3. Tong, W., Zou, D., Han, T., Zhang, X., Shen, P., Lu, X., Wang, P., and Yin, T. (2021). A New Type of 5G-Oriented Integrated BDS/SON High-Precision Positioning. Remote Sens., 13. 4. Location-based timing advance estimation for 5G integrated LEO satellite communications;Wang;IEEE Trans. Veh. Technol.,2021 5. Famili, A., Foruhandeh, M., Atalay, T., Stavrou, A., and Wang, H. (December, January 30). GPS Spoofing Detection by Leveraging 5G Positioning Capabilities. Proceedings of the 2022 IEEE Latin-American Conference on Communications (LATINCOM), Rio de Janeiro, Brazil.
|
|