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A Low-computation GNSS Acquisition Method Based on Synthesized Doppler Frequency Hypotheses
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Yi WU, Chao WU, Feijie QIAN, Xiuwei LIN
Telecommunication Engineering | 2025, 65(11) : 1903 - 1911
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Telecommunication Engineering | 2025, 65(11): 1903-1911
Electronics and Information Engineering
A Low-computation GNSS Acquisition Method Based on Synthesized Doppler Frequency Hypotheses
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Yi WU, Chao WU, Feijie QIAN, Xiuwei LIN
Affiliations
  • School of Communication Engineering,Hangzhou Dianzi University,Hangzhou 310018,China
Published: 2025-11-28 doi: 10.20079/j.issn.1001-893x.240429001
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To reduce the computations of parameters estimation in high-dynamic and long integration global navigation satellite system(GNSS) signal detection applications,the authors propose a low-computation GNSS acquisition method (LGAM) suitable for high-dynamic environment. The goal of LGAM is to apply the synthetic Doppler frequency hypothesis testing (SDHT) method to the acquisition of high dynamic GNSS signals with Doppler rate and bit flipping. Firstly,sparse Doppler frequency(SDF) process is implemented by coarse Doppler estimation,and post-correlation signal model is derived based on SDF structure. Then,in order to improve the detection efficiency of Doppler and Doppler rate, double-FFT based detection is proposed based on the post-correlation signal model for parameters estimation. The results demonstrate that in high dynamic environments, when the signal-to-noise ratio (SNR ) is higher than -43 dB, the computational complexity based on FFT method is 15 times that of LGAM1 and 780 times that of LGAM2.

GNSS  /  high-dynamic environment  /  compressed acquisition  /  frequency parameters estimation
Yi WU, Chao WU, Feijie QIAN, Xiuwei LIN. A Low-computation GNSS Acquisition Method Based on Synthesized Doppler Frequency Hypotheses[J]. Telecommunication Engineering, 2025 , 65 (11) : 1903 -1911 . DOI: 10.20079/j.issn.1001-893x.240429001
Year 2025 volume 65 Issue 11
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doi: 10.20079/j.issn.1001-893x.240429001
  • Receive Date:2024-04-29
  • Online Date:2026-04-15
  • Published:2025-11-28
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  • Received:2024-04-29
  • Revised:2024-09-24
Affiliations
    School of Communication Engineering,Hangzhou Dianzi University,Hangzhou 310018,China
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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