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3 May 2007 Model selection and Kolmogorov-Smirnov test for ultrawideband channel modeling
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Abstract
Accumulative Predictive Error has been previously used for time series modeling of psychological response time data. In this paper we extend its applicabilty to the identification of tap amplitude statistics of ultrawideband communication channels. We also present channel modeling results from two other model selection techniques: Minimum Description Length and Akaike's Information Criterion. Channel models are also identified by hypothesis testing using Kolmogorov-Smirnov test. The results agree with recent findings that Rayleigh distribution can still be used to model tap amplitude statistics of line of sight ultrawideband communication channels.
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Divya Choudhary and Aaron Robinson "Model selection and Kolmogorov-Smirnov test for ultrawideband channel modeling", Proc. SPIE 6577, Wireless Sensing and Processing II, 65770G (3 May 2007); https://doi.org/10.1117/12.719553
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