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Super-Resolution Time of Arrival Estimation for a Symbiotic FM Radio Data System

2020; Institute of Electrical and Electronics Engineers; Volume: 66; Issue: 4 Linguagem: Inglês

10.1109/tbc.2019.2957666

1557-9611

Xi Chen, Qihui Wei, Fei Wang, Jun Zhu, Sheng Wu, Aidong Men,

Blind Source Separation Techniques

A symbiotic FM radio data system (SRDS) refers to a kind of digital broadcasting whose signal co-exists with the FM in channel. The SRDS signal has a symmetrical split spectrum in the band of the host FM signal spectrum. Like the FM signal, this kind of broadcasting signal also has a wide range of ground coverage. When used as an alternative to the positioning, navigation and timing (PNT), it will be meaningful for intelligent artifacts in safety-of-life applications. However, SRDS signals not only have much narrower bandwidth than GNSS signals, but also multiple peaks of auto-correlation function, which poses a serious challenge to the time of arrival (ToA) estimation. In this paper, we propose a super-resolution ToA estimation algorithm for the SRDS signals. Specifically, the properties of the auto-correlation function of SRDS signal are deduced concretely, and a two-step ToA estimation algorithm for the SRDS signal is proposed accordingly. Simulations are conducted with different configurations of quantization bits, SNR, oversampling rates and multi-path. The results show that the meter-level ranging performance can be obtained in the single-path Gaussian channel, and the ranging performance degrades from tens of meters to a hundred meters in multi-path environments.