Carrier tracking loop in high dynamic environment aided by fast maximum likelihood estimation of Doppler frequency rate-of-change

Hao Huan*, Xuan Ru Tao, Ran Tao, Xiao Kang Cheng, Zhao Dong, Peng Fei Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

To reach a compromise between efficient dynamic performance and high tracking accuracy of carrier tracking loop in high-dynamic circumstance which results in large Doppler frequency and Doppler frequency rate-of-change, a fast maximum likelihood estimation method of Doppler frequency rate-of-change is proposed in this paper, and the estimation value is utilized to aid the carrier tracking loop. First, it is pointed out that the maximum likelihood estimation method of Doppler frequency and Doppler frequency rate-of-change is equivalent to the Fractional Fourier Fransform (FrFT). Second, the estimation method of Doppler frequency rate-of-change, which combines the instant self-correlation and the segmental Discrete Fourier Transform (DFT) is proposed to solve the large two-dimensional search calculation amount of the Doppler frequency and Doppler frequency rate-of-change, and the received coarse estimation value is applied to narrow down the search range. Finally, the estimation value is used in the carrier tracking loop to reduce the dynamic stress and improve the tracking accuracy. Theoretical analysis and computer simulation show that the search calculation amount falls to 5.25 percent of the original amount with Signal to Noise Ratio (SNR) -30 dB, and the Root Mean Sguare Error(RMSE) of frequency tracked is only 8.46 Hz/s, compared with the traditional carrier tracking method the tracking sensitivity can be improved more than 3 dB.

Original languageEnglish
Pages (from-to)577-582
Number of pages6
JournalDianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume36
Issue number3
DOIs
Publication statusPublished - Mar 2014

Keywords

  • Carrier tracking
  • Discrete Foureier Transform (DFT)
  • High dynamic
  • Instant self-correlation
  • Maximum likelihood estimation

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