Comparison between different decorrelation techniques in vital sign detection

Dell’Aversano, Angela; Caner, Alp; Solimene, Raffaele

doi:10.7716/aem.v5i2.397

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…More recently the MUltiple SIgnal Classification (MUSIC) algorithm has been proposed for array diagnostics [10]. MUSIC is a subspace projection method borrowed from spectral estimation [11] and Degree of Arrival Estimation [12] literature. It is a super-resolving scheme but can only be used for the special case where the array defects consist of completely turned off elements [10].…”

Section: Introductionmentioning

confidence: 99%

Linear Array Antenna Diagnostics Through a MUSIC Algorithm

et al. 2019

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The problem of detecting defective elements in antenna arrays from near-field measurements by a MUSIC method is addressed. It is shown that, owing to the rank deficiency of the involved correlation matrix, MUSIC is indeed no better than back-transformation or matrix methods. In order to restore MUSIC performance, a rank recovering procedure is required. Therefore, here, we introduce a rank recovering method which is properly tailored to address the pertinent near-field configuration. Numerical examples, obtained for 2D scalar cases and linear array antennas, show the effectiveness of the method. INDEX TERMS Array diagnostics, inverse imaging, multiple signal classification (MUSIC).

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