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An Unambiguous Acquisition Algorithm for BOC (n, n) Signal Based on Sub-correlation Combination

  • Xiyan Sun
  • Qing Zhou
  • Yuanfa JiEmail author
  • Qiang Fu
  • Qinwen Miao
  • Sunyong Wu
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 810)

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.

Keywords

BOC Multiple peaks Sub-correlation Correlation-combination Unambiguous correlation function 

Notes

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).

References

  1. 1.
    Serikawa, S., Lu, H.: Underwater Image Dehazing Using Joint Trilateral Filter. Pergamon Press, Inc. (2014)Google Scholar
  2. 2.
    Lu, H., Li, Y., Mu, S., et al.: Motor anomaly detection for unmanned aerial vehicles using reinforcement learning. IEEE Internet Things J. PP(99), 1–1 (2017)Google Scholar
  3. 3.
    Lu, H., Li, Y., Chen, M., et al.: Brain Intelligence: go beyond artificial intelligence. Mob. Netw. Appl. 23(2), 368–375 (2017)CrossRefGoogle Scholar
  4. 4.
    Lu, H., Li, B., Zhu, J., et al.: Wound intensity correction and segmentation with convolutional neural networks. Concurr. Comput. Pract. Exp. 29(6) (2016)Google Scholar
  5. 5.
    Lu, H., Li, Y., Uemura, T., et al.: Low illumination underwater light field images reconstruction using deep convolutional neural networks. Futur. Gener. Comput. Syst. 82 (2018)Google Scholar
  6. 6.
    Burian, A., Lohan, E.S., Renfors, M.: BPSK-like methods for hybrid-search acquisition of galileo signals. In: Proceedings of IEEE ICC, June, pp. 5211–5216 (2006)Google Scholar
  7. 7.
    Lohan, E.S.: Statistical analysis of BPSK-like techniques for the acquisition of Galileo signals. J. Aerosp. Comput. Inf. Commun. 3(5), 234–243 (2006)CrossRefGoogle Scholar
  8. 8.
    Fishman, P., Betz J.W.: Predicting performance of direct acquisition for the M-code signal. In: Proceedings of ION NMT, pp. 574–582 (2000)Google Scholar
  9. 9.
    Yao, Z., Lu, M.Q.: Unambiguous sine-phase binary offset carrier modulated signal acquisition technique. IEEE Trans. Wirel. Commun. Lett. 9(2), 577–580 (2010)Google Scholar
  10. 10.
    Ward, P.W.: A design technique to remove the correlation ambiguity in binary offset carrier (BOC) spread spectrum signal, pp. 146–155. ION Press, Albuquerque, NM, USA (2003)Google Scholar
  11. 11.
    Zhang, X.X., Cheng, Y.W., Guo C.J.: A novel blur-less acquisition algorithm for BOC (1, 1). In: China Satellite Navigation Academic Annual Meeting (2017)Google Scholar
  12. 12.
    Ji, Y.F., Liu, Y., Zhen, W.M., et al.: An unambiguous acquisition algorithm based on unit correlation for BOC (n, n) signal. IEICE Trans. Commun. 8 (2017)Google Scholar
  13. 13.
    Zhang, H.L., Ba, X.H., Chen, J., et al.: The unambiguous acquisition technology for BOC (m, n) signals. Aeronaut. Acta 38(4), 217–226 (2017)Google Scholar
  14. 14.
    Cao, X.L., Guo, C.J.: A new unambiguity acquisition algorithm for BOC (n, n) signal. Glob. Position. Syst. 41(6), 1–5 (2016)Google Scholar
  15. 15.
    Hu, G.Y., Zhao, T.L., Chen, S., et al.: An unambiguity and direct acquisition algorithm of BOC signal. Electron. Technol. Appl. 39(12), 122–125 (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Xiyan Sun
    • 1
  • Qing Zhou
    • 1
  • Yuanfa Ji
    • 1
    Email author
  • Qiang Fu
    • 1
  • Qinwen Miao
    • 1
  • Sunyong Wu
    • 1
  1. 1.Guangxi Key Laboratory of Precision Navigation Technology and ApplicationGuilin University of Electronic TechnologyGuilinChina

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