Abstract
In the course of GPS modernization, Binary Offset Carrier (BOC) modulation technology is adopted to realize rational utilization of frequency, to avoid mutual interference between navigation signal frequency bands. Due to the multiple peaks of the auto-correlation function (ACF) of BOC modulated signal, an acquisition algorithm is proposed in this paper. This new method analyzed sub-correlation function of ACF, then, in the process of local design, it is designed one sub-signal and half-chip-shift sub-signal. It can achieve the homologous sub-correlation function of ACF by respectively correlating two local signals and received signal. The complexity of the algorithm as well as its detection probability based on the constant false alarm rate is analyzed. Simulations show that the proposed method can effectively solve the problem of ambiguous acquisition.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (61561016, 11603041), Guangxi Information Science Experiment Center funded project, Department of Science and Technology of Guangxi Zhuang Autonomous Region (AC16380014, AA17202048, AA17202033).
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Sun, X., Hao, F., Ji, Y., Yan, S., Miao, Q., Fu, Q. (2020). A No-Ambiguity Acquisition Algorithm Based on Correlation Shift for BOC (N, N). In: Lu, H. (eds) Cognitive Internet of Things: Frameworks, Tools and Applications. ISAIR 2018. Studies in Computational Intelligence, vol 810. Springer, Cham. https://doi.org/10.1007/978-3-030-04946-1_39
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DOI: https://doi.org/10.1007/978-3-030-04946-1_39
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