Abstract
Aiming at the range ambiguity problem of wideband and low SNR (signal-to-noise ratio) FMCW (frequency modulated continuous wave) signals under severe measurement conditions, a solid surface FMCW signal model is built. Besides, based on prior information, a distance inversion method is proposed, which contains signal pretreatment, band intercepting and energy weighting. Actual data processing results show that, SNR of the frequency spectrum has been raised from -5.55dB to 8.32dB after pretreatment; and the final results show that index of similarity of stock level shape respectively raised from 0.46 to 0.71 and 0.79.
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Hou, Q.W., Xu, Z.W., Bai, Z.L., Chen, X.Z., Wang, J.N. (2013). Low SNR FMCW Signal Processing with Prior Information. In: Sun, C., Fang, F., Zhou, ZH., Yang, W., Liu, ZY. (eds) Intelligence Science and Big Data Engineering. IScIDE 2013. Lecture Notes in Computer Science, vol 8261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42057-3_79
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DOI: https://doi.org/10.1007/978-3-642-42057-3_79
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