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Speed Estimation of Mobile Station in Additive Noise and Rayleigh Fading Environments

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Abstract

In this paper, the speed of Mobile Station (MS) is estimated based on the derivative and correlation properties of received wave envelope in additive noise and Rayleigh fading channel environments. We derive the effects of noise and nonzero sampling interval on the accuracy of the speed estimation. In addition, we propose a method to correct the estimation errors due to the noise and sampling interval. We compare the proposed method with the speed estimation using level crossing rate. The proposed estimation method shows better performance than the estimation method using level crossing rate when there is background noise.

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References

  1. M.D. Austin and G.L. Stüber, Velocity adaptive handoff algorithms for microcellular systems, IEEE Transactions on Vehicular Technology 43(3) (August 1994) 549–561.

    Google Scholar 

  2. P.A. Bello, Some techniques for the instantaneous real-time measurement of multipath and Doppler spread, IEEE Transactions on Communications 13(3) (September 1965) 285–292.

    Google Scholar 

  3. L. Ehrman and R. Esposito, On the Accuracy of the Envelope Method for the Measurement of Doppler Spread, IEEE Transactions on Communications COM-17 (October 1969) 578–581.

    Google Scholar 

  4. I.A. Getting, The Global Positioning System, IEEE Spectrum (December 1993) 36–47.

  5. J.M. Holtzman and A. Sampath, Adaptive averaging methodology for handoffs in cellular systems, IEEE Transactions on Vehicular Technology 44(1) (February 1995) 59–66.

    Google Scholar 

  6. http://www.janet.ucla.edu/lpe.lwim

  7. W.C. Jakes, Microwave Mobile Communications (IEEE Press, 1993).

  8. K. Kawabata, T. Nakamura and E. Fukuda, Estimating velocity using diversity reception, IEEE VTC (1994) 371–374.

  9. E. Kreyszig, Advanced Engineering Mathematics, 6th ed. (Wiley, 1988).

  10. X. Lagrange, Multitier cell design, IEEE Communications Magazine (August 1997) 60–64.

  11. W.C.Y. Lee, Mobile Communications Engineering (McGraw-Hill, 1982).

  12. C.W. Sung and W.S. Wong, User speed estimation and dynamic channel allocation in hierarchical cellular system, IEEE VTC (1994) 91–95.

  13. K.L. Yeung and S. Nanda, Channel management in microcell/macrocell cellular radio systems, IEEE Transactions on Vehicular Technology 45(4) (November 1997) 601–612.

    Google Scholar 

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Authors and Affiliations

  1. Samsung Electronics Co. Ltd., Korea

    Dong-Jun Lee

  2. Department EE, Chungbuk University, San 48, Gaesindong, Cheongju, Chungcheongbukdo, 361-763, Korea

    Byung-Cheol Shin

  3. Department of EE & CS, KAIST, 373-1, Kusongdong, Yusonggu, Taejon, 305-701, Korea

    Dong-Ho Cho

Authors
  1. Dong-Jun Lee
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  2. Byung-Cheol Shin
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  3. Dong-Ho Cho
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Lee, DJ., Shin, BC. & Cho, DH. Speed Estimation of Mobile Station in Additive Noise and Rayleigh Fading Environments. Wireless Networks 8, 541–548 (2002). https://doi.org/10.1023/A:1020335000128

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  • DOI: https://doi.org/10.1023/A:1020335000128

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