Statistical modelling of measured automotive radar reflections
A statistical analysis was performed on measured radar reflections from a broad range of personal vehicle classes. The outcome of this study is two-fold: 1.) An improved understanding of the radar scattering components of automobiles, which informs the design of surrogate test targets for evaluating automotive pre-collision system (PCS) radars, and 2.) statistical models for evaluating surrogate targets and characterizing target models for PCS radar system designs. We examined the validity of two-parameter distribution models applied to measurements of subject vehicle's radar cross-section (RCS) and found the Weibull distribution to be the best fit. In evaluating the goodness-of-fit of the Weibull distribution model, using the Kolmogorov-Smirnov test, we deem an acceptable fit between the model and the measured RCS data for our intended project outcome.
2013 IEEE International
Nieuwstadt, L. v.,
Statistical modelling of measured automotive radar reflections.
2013 IEEE International, 349-352.
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