Götz A, Waldmann B, Weigel R (2009)
Publication Type: Conference contribution
Publication year: 2009
Publisher: IEEE
Pages Range: 1-4
Event location: München
Journal Issue: 4
ISBN: 978-3-9812668-0-1
DOI: 10.1109/GEMIC.2009.4815874
In this paper a novel approach for mitigation of short multipath distortions is presented. The technique is applicable to FMCW-based distance measurement systems assuming distinctly separated targets. The effects of spectral distortion caused by short multipath propagation in conjunction with Fourier-based frequency analysis methods are mitigated. For this purpose the distorted spectrum is first analyzed and specific characteristics are calculated. A Feedforward Neural Network processes these characteristics and provides a correction frequency relative to the erroneously shifted maximum in order to estimate the true line-of-sight frequency. A comprehensive analysis was performed by means of a two tone test. Applicability to real world environments was investigated by means of a multi tone test using an IEEE 802.15.4a channel model.
APA:
Götz, A., Waldmann, B., & Weigel, R. (2009). Short Multipath Mitigation Technique Using Feedforward Neural Networks. In Proceedings of the German Microwave Conference (Gemic) (pp. 1-4). München: IEEE.
MLA:
Götz, Alexander, Benjamin Waldmann, and Robert Weigel. "Short Multipath Mitigation Technique Using Feedforward Neural Networks." Proceedings of the German Microwave Conference (Gemic), München IEEE, 2009. 1-4.
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