Abstract
To overcome the acquisition problems caused by the multiple peaks of the auto-correlation function of Binary Offset Carrier (BOC) modulated signal, a technology to eliminate secondary peaks based on sub-combination correlation is proposed in this paper. According to the characteristics of the sub-function of the BOC autocorrelation, this new method recombined the sub-correlation function obtain the ability to eliminate the edge. MonteCarlo simulations show that the proposed method can improve 3 dBHz sensitivity in detection probability compared with ASPeCT when the number of non-coherent is 10 for BOCs (1, 1). In addition, it can be applied to BOCc (1, 1) and achieved the same the detection probability compared with the traditional BSPK-LIKE method by appropriately increasing the number of non-coherent.
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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), the basic ability promotion project of young and middle-aged teachers in Universities of Guangxi province (ky2016YB164).
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Sun, X., Zhou, Q., Ji, Y., Fu, Q., Miao, Q., Wu, S. (2020). An Unambiguous Acquisition Algorithm for BOC (n, n) Signal Based on Sub-correlation Combination. 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_40
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DOI: https://doi.org/10.1007/978-3-030-04946-1_40
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