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 is proposed in this paper to eliminate secondary peaks based on sub-combination correlation. According to the characteristics of the sub-function of the BOC autocorrelation function, this new method recombining the sub-correlation function obtains the ability to eliminate the edge. In the process of local design, it is aimed to design two local signal waves which can achieve the homologous sub-correlation function of BOC auto-correlation function by respectively correlating both local and received signals. MonteCarlo simulations show that the proposed method can improve 3 dBHz sensitivity in detection probability compared with ASPeCT when the non-coherent number is 10 for BOCs (1, 1). In addition, it can be applied to BOCc (1, 1) and achieve the same the detection probability compared with the traditional BSPK-LIKE method by appropriately increasing the number of non-coherent.
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References
Barker, B. C., Betz, J. W., Clark, J. E., et al. (2000). Overview of the GPS M code signal. In Proceedings of the 2000 Navigation Technical meeting of the Institute of Navigation. Anaheim, CA (pp. 542–549).
Zhu, X. F., Chen, X. Y., & Chen, J. F. (2012). Simulation of Galileo E1/E5/E6 digital IF signal. Journal of Chinese Inertial Technology, 20(5), 557–561.
John, W. B. (1999). The offset carrier modulation for GPS modernization. In Proceedings of the 1999 National Technical Meeting of The Institute of Navigation, January 25–27.
Heiries, V., Avila-Roadriguez, J., Irigler, A. M., et al. (2005). Acquisition performance analysis of composite signals for the L1 OS optimized signal. In 2005 ION GNSS international technical meeting of the satellite division (pp. 877–889).
Serikawa, S., & Lu, H. (2014). Underwater image dehazing using joint trilateral filter. Oxford: Pergamon Press, Inc.
Lu, H., Li, Y., Mu, S., et al. (2017). Motor anomaly detection for unmanned aerial vehicles using reinforcement learning. IEEE Internet of Things Journal, PP(99), 1.
Lu, H., Li, Y., Chen, M., et al. (2017). Brain intelligence: Go beyond artificial intelligence. Mobile Networks & Applications, 23(2), 368–375.
Lu, H., Li, B., Zhu, J., et al. (2016). Wound intensity correction and segmentation with convolutional neural networks. Concurrency and Computation Practice and Experience, 29(6), e3927.
Lu, H., Li, Y., Uemura, T., et al. (2018). Low illumination underwater light field images reconstruction using deep convolutional neural networks. Future Generation Computer Systems, 82, 142–148.
Burian, A., Lohan, E. S., & Renfors, M. (2006). BPSK-like methods for hybrid-search acquisition of galileo signals. In Proceedings of IEEE ICC (pp. 5211–5216).
Lohan, E. S. (2006). Statistical analysis of BPSK-Like techniques for the acquisition of Galileo signals. Journal of Aerospace Computing Information & Communication, 3(5), 234–243.
Fishman, P., & Betz, J. W. (2000). Predicting performance of direct acquisition for the M-code signal. In Proceedings of ION NMT (pp. 574–582).
Yao, Z., & Lu, M. Q. (2010). Unambiguous sine-phase binary offset carrier modulated signal acquistion technqiue. IEEE Transaction on Wireless Communication Letters, 9(2), 577–580.
Ward, P. W. (2003). A design technique to remove the correlation ambiguity in binary offset carrier(BOC) spread spectrum signal. In Proceedings of the 59th annual meeting of the Institute of Navigation and CIGTE 22nd guidance test symposium. Albuquerque, NM, USA: IONPress, (pp. 146–155).
Julien, O., Macaiubiau, C., Cannon, M., et al. (2007). ASPeCT: Unambiguous sine–BOC (n, n) acquisition/tracking technique for navigation applications. IEEE Transactions on Aerospace and Electronic System, 43(1), 150–162.
Julien, O., et al. (2004). A new unambiguous BOC (n, n) signal tracking technique. In Proceedings of the European Navigation Conference GNSS.
Zhang, X. X., Cheng, Y. W., Guo, C. J. (2017). A novel blur-less acquisition alorithm for BOC (1, 1). In China satellite navigation academic annual meeting.
Ji, Y. F., Liu, Y., Zhen, W. M., et al. (2017). An unambiguous acquisition algorithm based on unit correlation for BOC (n, n) signal. IEICE Transactions on Communications.
Zhang, H. L., Ba, X. H., Chen, J., et al. (2017). The unambiguous acquisition technology for BOC (m, n) signals. Aeronautical Acta, 38(4), 217–226.
Cao, X. L., & Guo, C. J. (2016). A new unambiguity acquisition algorithm for BOC (n, n) signal. Global Positioning System, 41(6), 1–5.
Hu, G. Y., Zhao, T. L., Chen, S., et al. (2013). An unambiguity and direct acquisition algorithm of BOC signal. Electronic Technology Applications, 39(12), 122–125.
Chen, H. H., Ren, J. W., & Yao, M. L. (2013). Side-peak callcellation general framework designed for BOC signals unambiguous processing. Journal of Astronautics, 33(11), 1646–1653.
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. et al. An Unambiguous Acquisition Algorithm for BOC (n, n) Signal Based on Sub-correlation Combination. Wireless Pers Commun 106, 1609–1628 (2019). https://doi.org/10.1007/s11277-019-06232-1
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DOI: https://doi.org/10.1007/s11277-019-06232-1