Iterative Doppler Frequency Offset Estimation in Low SNR Satellite Communications

Jiawei Wang, Chunxiao Jiang, Linling Kuang, Song Guo

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review


Satellite communication systems usually work in low signal-to-noise ratio (SNR) circumstances owning to the limited satellites' link budgets. Large doppler frequency offset in low-SNR satellite communication systems severely influences the performance of frequency synchronization, while the frequency offset correction still remains an open problem under low SNR condition especially for short burst transmission. To solve such a problem in satellite communications, we present a novel method named GP-MASO-MLE, which comprises a coarse correction based on the objective function with Gaussian Process (GP) search and a fine correction based on Maximum Likelihood Estimation (MLE) jointly with turbo iterations. Specifically, the proposed method is appropriate for non-data-aided frequency offset correction in satellite communication systems. Simulation results show that the proposed algorithm can approach to the bit error rate (BER) performance bound of ideal frequency offset correction within 0.1 dB, moreover, the proposed algorithm has lower computational complexity compared with traditional multi-step search algorithms.
Original languageEnglish
Number of pages6
Publication statusPublished - Jun 2020
IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2020
- Limasso, Cyprus
Duration: 15 Jun 202019 Jun 2020


IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2020

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