A Super-Resolution Algorithm with FRFT Towards GNSS TOA Estimation for Multipath Channel

Yiran Luo, Li-Ta Hsu, Yi Pan

Abstract: Multipath channels can highly reduce the performance of global navigation satellite system (GNSS) time-of-arrival (TOA) estimations, as a non-line-of-sight (NLOS) signal can distort the estimating accuracy for the line-of-sight (LOS) signal in a conventional GNSS receiver. This paper firstly investigates the dynamic difference of the LOS and NLOS signals for a moving GNSS antenna. Then, the fractional Fourier transform (FRFT) algorithm is presented to match the signals with different Doppler rate values in a multipath channel. A long coherent processing interval (CPI) is also adopted to enhance the sensitivity and accuracy of the FRFT match filter. Simulating results demonstrate the high performance for detections towards the LOS/NLOS signals in the fractional Fourier domain (FRFD) based on the proposed FRFT super-resolution algorithm (SRA).
Published in: Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021)
September 20 - 24, 2021
Union Station Hotel
St. Louis, Missouri
Pages: 3350 - 3359
Cite this article: Luo, Yiran, Hsu, Li-Ta, Pan, Yi, "A Super-Resolution Algorithm with FRFT Towards GNSS TOA Estimation for Multipath Channel," Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), St. Louis, Missouri, September 2021, pp. 3350-3359.
https://doi.org/10.33012/2021.17951
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