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A Novel Doppler Frequency Dynamic Model with Its Applications

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Abstract

We propose a novel dynamic model of Doppler frequency and phase, called as a polynomial prediction model (PPM), where a constant acceleration or deceleration motion law described by a polynomial is assumed, then a new self-validating optimal filtering algorithm, based on the proposed model and the unscented Kalman filter (UKF), is developed for the frequency and phase estimates of the Doppler signal in a variable acceleration and/or deceleration motion scenario. The analytical results show that the proposed algorithm can effectively track Doppler frequency and phase whatever the maneuvering motion between the transceivers is. The analytical results are verified by the simulations and the experimental results of a real live GPS receiver, which show that the proposed algorithm is superior to most of those reported in the literature when the received signal power is over a guaranteed value in the case of GPS.

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Authors and Affiliations

  1. State Key Laboratory of ASIC & System, Fudan University, Shanghai, 201203, China

    Jin Zhao, Jian Jun Yin & Jian Qiu Zhang

  2. Shanghai Institute of Satellite Engineering, Shanghai, 200240, China

    Jin Zhao

  3. Department of Electronic Engineering, Fudan University, Shanghai, 200433, China

    Jian Jun Yin & Jian Qiu Zhang

  4. School of Electrical Engineering, Shanghai Dianji University, Shanghai, 200240, China

    Yu Gao

Authors
  1. Jin Zhao
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  2. Jian Jun Yin
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  3. Jian Qiu Zhang
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  4. Yu Gao
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Correspondence to Jian Jun Yin.

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Zhao, J., Yin, J.J., Zhang, J.Q. et al. A Novel Doppler Frequency Dynamic Model with Its Applications. Wireless Pers Commun 66, 275–289 (2012). https://doi.org/10.1007/s11277-011-0338-z

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  • DOI: https://doi.org/10.1007/s11277-011-0338-z

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