DIRECTIONAL CHANNEL MODELING WITH SPARSE POWER AZIMUTH SPECTRUM ESTIMATION

For directional wireless channel modeling, a number of techniques exist to estimate the power azimuth spectrum (PAS) from multiple-antenna measurements. Beamforming is a typical method to estimate PAS directly from array data, but resolution limitations arise from the finite aperture of the array, which can be partially overcome by applying deconvolution [1, 2]. Another approach finds double-directional multipath components via CLEAN, ESPRIT, or SAGE and then extracts PAS from empirical directional probability density functions (pdfs) [3, 4], but potential difficulties arise due to calibration sensitivity [5] and the existence of dense multipath [6]. Another shortcoming of previous methods is that they do not necessarily represent PAS with few parameters, which is useful in many applications.

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