Mosshammer R, Frank F, Huemer M (2007)
Publication Type: Journal article
Publication year: 2007
Publisher: Springer-Verlag
Pages Range: 928-935
Multipath propagation is a major source of error for runtime detection based positioning systems. For the case of an FMCW-based positioning system, the overlap of pulse shapes in the frequency domain restricts exact measurement of frequency, and thus of runtime. Choosing a measurement point on the slope of the pulse is a way to mitigate measurement errors. In this paper, we present a neural network as a means of estimating the ideal measurement point. The network is shown to outperform fixed level measurements even with very sparse training data.
APA:
Mosshammer, R., Frank, F., & Huemer, M. (2007). Neural network based path detection for an FMCW positioning system. Lecture Notes in Computer Science, 928-935.
MLA:
Mosshammer, Ralf, Florian Frank, and Mario Huemer. "Neural network based path detection for an FMCW positioning system." Lecture Notes in Computer Science (2007): 928-935.
BibTeX: Download