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http://hdl.handle.net/10397/106139
Title: | A baseband MLE for snapshot GNSS receiver using super-long-coherent correlation in a fractional fourier domain | Authors: | Luo, YR Hsu, LT El-Sheimy, N |
Issue Date: | Sep-2023 | Source: | Navigation, Sept 2023, v. 70, no. 3, navi.588 | Abstract: | Low-cost global navigation satellite system and global positioning system(GPS) receivers require reliable baseband processing to guarantee accurate position-ing. However, classic baseband performance is limited in challenging cases due to the characteristics of traditional loop filters. Accordingly, a snapshot base -band maximum likelihood estimator (MLE) using super-long coherent integra-tion (S-LCI) in a fractional Fourier domain (FrFD) is proposed to upgrade the traditional frequency/phase/delay lock loop tracking algorithms. First, applying the S-LCI correlation in an FrFD increases the accuracy of a weak and dynamic signal estimation. Tolerance of the initial guess error in the snapshot baseband processing is then relaxed by the MLE. Finally, a gradient descent algorithm accelerates the convergence of signal estimation. Moreover, we derive the Cramer-Rao lower bound for the proposed MLE. Both numerical simulations and real-world experiments based on this GPS receiver prototype verify the effectiveness of its high-accuracy estimations of weak signals, strong tolerance for large initial guess errors, and prompt responses to converging. | Keywords: | Baseband processing Cramer-Rao lower bound Fractional Fourier transform Maximum likelihood estimator Snapshot GNSS receiver Super-long coherent integration |
Publisher: | Wiley-Blackwell Publishing, Inc. | Journal: | Navigation | ISSN: | 0028-1522 | EISSN: | 2161-4296 | DOI: | 10.33012/navi.588 | Rights: | © 2023 Institute of Navigation Licensed under CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/) The following publication Luo, Y., Li-Ta Hsu, & El-Sheimy, N. (2023). A Baseband MLE for Snapshot GNSS Receiver Using Super-Long-Coherent Correlation in a Fractional Fourier Domain. NAVIGATION: Journal of the Institute of Navigation, 70(3), navi.588 is available at https://dx.doi.org/10.33012/navi.588. |
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