Numerical and Experimental Comparison Among a New Hybrid FT-Music Technique and Existing Algorithms for Through-the-Wall Radar Imaging

A fast low-cost through-the-wall radar imaging (TWRI) system, based on a vector network analyzer (VNA), couple of switches and an array Vivaldi antennas, has been designed, realized, tested. To solve the TWRI inversion problem, original theoretical modeling for class techniques whose basic functions are cross-range Fourier transform (FT) scattered field its covariance operator proposed. Using these functions, four conventional algorithms, namely delay sum (DAS), FT, multiple signal classification (MUSIC), hybrid DAS-MUSIC new algorithm, FT-MUSIC, have derived. All implemented their accuracy view tested canonical scatterers. Then, algorithms applied to measured data collected in different scenarios constituted by metallic bar or human subject absence presence wall between antenna considered targets. proposed it possible detect located up 5-m away from through tuff wall. The FT-MUSIC algorithm evidenced performances similar those but with significantly lower execution times. Finally, terms immunity disturbances better compared MUSIC algorithm.