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Wireless Personal Communications

Erschienen in:

19.05.2024

Low-Computation GNSS Acquisition Method for Sparse Doppler Frequency Hypotheses in High-Dynamic Environment

verfasst von: Chao Wu

Erschienen in: Wireless Personal Communications | Ausgabe 4/2024

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Abstract

To acquire Global Navigation Satellite System (GNSS) signal in high-dynamic and long integration applications, the high dimensional search of this detection needs a high computational cost. To reduce the computations of parameters estimation, this paper proposes a low-computation GNSS acquisition method (LGAM) in the high-dynamic environment. Firstly, sparse Doppler frequency (SDF) process is performed for SDF hypotheses, and post-correlation signal model is derived based on SDF structure. Then, double-FFT based detection is proposed based on the post-correlation signal model for parameters estimation. The results demonstrate that due to the reduction of complex multiplications, the computational cost of LGAM is lower than that of the FFT based methods under the moderate signal to noise ratio.

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Titel: Low-Computation GNSS Acquisition Method for Sparse Doppler Frequency Hypotheses in High-Dynamic Environment
verfasst von: Chao Wu
Publikationsdatum: 19.05.2024
Verlag: Springer US
Erschienen in: Wireless Personal Communications / Ausgabe 4/2024
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-024-10967-x

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