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An Improved Symbol Detection Algorithm Based on Expectation-Maximum

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Information Computing and Applications (ICICA 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 391))

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Abstract

In this paper, the problem of symbol detection of linearly modulated signals in the presence of unknown carrier phase is studied. We proposed a signal detection algorithm based on EM, which is different from conventional solution that not need estimation carrier phase,the symbol information can be obtained directly, thus reducing the performance loss caused by hierarchical processing of the traditional receiver. And resolved the problems of SER degradation that caused by phase ambiguity and the integral interval. The deterioration of the symbol detection performance was improved by sub-regional integration and adjusts the integration interval. Simulation results show that the symbol detection performance improved significantly.

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References

  1. Moeneclaey, M., Jonghe, G.: ML-oriented NDA Carrier Synchronization for General Rotationally Symmetric Signal Constellations. IEEE Transactions on Communications 1(5), 2531–2533 (1994)

    Article  Google Scholar 

  2. Gworghiades, C.N.: Blind Carrier Phase Acquisition for QAM Communication. IEEE Transactions on Communications 2(3), 1477–1486 (1997)

    Article  Google Scholar 

  3. Dempster, Laird, N.M., Rubin, D.B.: Maximum-likelihood from incomplete data via the EM algorithm. J. Roy. Stat. Soc. 3(6), 189–197 (1977)

    MATH  Google Scholar 

  4. McLachlan, G.J., Krishnan, T.: The EM Algorithm and Extensions, New York. Wiley Series in Probable. Statist., vol. 4(6), pp. 363–376 (1977)

    Google Scholar 

  5. Noels, N., Herzet, C., Dejonghe, A., Lottici, V.: Turbo synchronization: an EM algorithm interpretation. In: IEEE International Conference on Communication, vol. 5(8), pp. 2933–2937 (2003)

    Google Scholar 

  6. Nissila, M.J., Pasupathy, S., Mammela, A.: An EM Approach to Carrier Phase Recovery in AWGN Channel. In: IEEE International Conference on Communication, ICC, vol. 6(7), pp. 2199–2203 (2001)

    Google Scholar 

  7. Zamiri-Jafarian, H., Pasupathy, S.: Adaptive MLSDE Using the EM Algorithm. IEEE Transactions on Communication 7(11), 1181–1193 (1997)

    Google Scholar 

  8. Georghiades, C.N., Han, J.C.: Sequence estimation in the presence of random parameters via the EM algorithm. IEEE Transactions on Communication 8(4), 300–308 (1997)

    Article  Google Scholar 

  9. Nassar, C.R., Reza Soleymani, M.: Joint Sequence Detection and Phase Estimation Using the EM Algorithm. In: Conference on Electrical and Computer Engineering, vol. 9(5), pp. 296–299 (1994)

    Google Scholar 

  10. Eergali, U., Sandri, A., Salivary, A.: Phase Ambiguity Resolution in Trellis-coded Modulations. IEEE Transactions on Communications 10(5), 2087–2088 (1990)

    Google Scholar 

  11. Wymeersch, Moeneclaey, M.: Iterative Code-Aided ML Phase Estimation and Phase Ambuguity Resolution. EURASIP Journal on Applied Signal Processing 11(5), 981–988 (2005)

    Article  MATH  Google Scholar 

  12. Wiegand, T.: Study of final committee draft of joint video specification (2002)

    Google Scholar 

  13. Choi, W., Jeon, B., Jeong, J.: Fast motion estimation with modified diamond search for variable motion block sizes. In: Proc. IEEE Int. Conf. Image Processing, vol. 3, pp. II-371–II-374 (2003)

    Google Scholar 

  14. Yin, P., Tourapis, H.Y.C., Tourapis, A.M., Boyce, J.: Fast mode estimation within the H.264 codec. In: Proc. Int. Conf. on Multimedia and Expo, vol. 3, pp. III-517–III-520 (2003)

    Google Scholar 

  15. Ahmad, A., Khan, N., Masud, S., Maud, M.A.: Efficient block size selection in H.264 video coding standard. Electron. Lett. 40(1), 19–21 (2004)

    Article  Google Scholar 

  16. Ma, S.Y., Shen, C.F., Chen, L.G.: Analysis and reduction of reference frames for motion estimation in MPEG-4 AVC JVT/H.264. In: Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, vol. 3, pp. III-145–III-148 (2003)

    Google Scholar 

  17. Xuan, Z., Zhenghua, Y., Songyu, Y.: Method for detection all-zero DCT coefficients ahead of discrete cosine transformation and quantization. Electron. Lett. 34(19), 1839–1840 (1998)

    Article  Google Scholar 

  18. Sousa, L.A.: General method for eliminating redundant computations in video coding. Electron. Lett. 36(4), 306–307 (2000)

    Article  MathSciNet  Google Scholar 

  19. Malvar, H., Hallapuro, A., Karczewicz, M., Kerofsky, L.: Low-complexity transform and quantization with 16-bit arithmetic for H.26L. In: Proc. IEEE Int. Conf. Image Processing, vol. 2, pp. 489–492 (2002)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Information Science and Technology, Zheng Zhou, China

    Ge Wang, Hong-Yi Yu & Zhi-Xiang Shen

Authors
  1. Ge Wang
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  2. Hong-Yi Yu
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  3. Zhi-Xiang Shen
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Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong University, 800 Dongchuan Road, Dianxinqunlou 1-401, 200240, Shanghai, China

    Yuhang Yang

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, 639798, Singapore, Singapore

    Maode Ma

  3. College of Science, Hebei United University, 063009, Tangshan, Hebei, China

    Baoxiang Liu

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Wang, G., Yu, HY., Shen, ZX. (2013). An Improved Symbol Detection Algorithm Based on Expectation-Maximum. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53932-9_46

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  • DOI: https://doi.org/10.1007/978-3-642-53932-9_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53931-2

  • Online ISBN: 978-3-642-53932-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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