Abstract

In this study, we present an ultra-wideband clustering algorithm using affinity propagation (AP). Unlike typical AP algorithms, which define similarity as a negative squared Euclidean distance between data points, we define it to reflect the amplitude discontinuity observed in Saleh-Valenzuela models. The proposed algorithm was tested on simulated channel impulse response and propagation data measured in an indoor environment, and reasonable clustering results were observed.

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