Innovative Multicarrier Broadband Waveforms for Future GNSS Applications - A System Overview.

Tien M. Nguyen, Charles H. Lee, Yinwei Chen, Sam Behseta,Dan Shen,Genshe Chen,John Nguyen,Xiwen Kang,Khanh D. Pham

PLANS(2023)

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摘要
An overview of a proposed multicarrier broadband waveform (MCBBW) is provided with a novel approach for generating the waveform using existing GNSS signals to meet diversified Position-Navigation- Timing (PNT) requirements for future GNSS applications. As proof of concept, focus is directed to a use case using GPS L1, L2, and L5 waveforms. The proposed GNSS-MCBBW technique combines these GPS waveforms using PCM/PSK/PM-sinewave subcarriers. Our preliminary simulation results are verified and validated with theoretical models demonstrating that the three existing GPS signals can be transmitted simultaneously on existing L, L2, and L5 frequencies. For this use case, this paper discusses the design of an MCBBW satellite system incorporating machine learning and artificial intelligence to generate a high-quality GNSS-MCBBW fitting within the GPS L-band and meeting existing GPS PNT performance. The recovery of GPS Ll, L2, and L5 signals at the user terminal will also be discussed.
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关键词
artificial intelligence,diversified Position-Navigation-Timing requirements,future GNSS applications,GNSS signals,GNSS-MCBBW technique,GPS L-band,GPS L1 waveforms,GPS L2 waveforms,GPS L5 waveforms,GPS PNT performance,GPS signals,high-quality GNSS-MCBBW fitting,innovative multicarrier broadband waveforms,L frequencies,L2 frequencies,L5 frequencies,machine learning,MCBBW satellite system,PCM-sinewave subcarriers,PM-sinewave subcarriers,preliminary simulation results,PSK-sinewave subcarriers,system overview,theoretical models,user terminal
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