Abstract
High-resolution methods are of major interest for estimating discrete spectra, since they overcome the resolution limit of the Fourier transform and provide very accurate estimates of the signal parameters. The problem of spatial detection and imaging of closely separated objects is investigated. This paper presents a method based on noise subspace of the correlation matrix of the noise-corrupted signal for ultrasonic holographic imaging problem. The in-line holography is employed, where the amplitude and phase of a coherent wave is recorded. The performance of the method is compared with the traditional method, Fourier transform method. The technique is investigated for different values of Signal to Noise Ratio (SNR) and synthetic aperture length.
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