Three-dimensional imaging of the object using multiple eigenvectors in the CW laser array imaging system

Abstract

A CW laser array imaging system designed to obtain precise images of the object, where the eigenvector of the largest eigenvalue is derived from the array data collected and is then computationally beamsteared, has been presented by the author. However, only two-dimensional imaging of the object is achievable with the system. Both the data acquisition system and the algorithm are modified, aimed at achieving three-dimensional imaging. A target is placed near the apertures as part of the object, and multiple eigenvectors with the largest eigenvalues are derived to estimate, through a Fourier analysis, the three-dimensional positions of the representative object points. First, the spatial heterodyne detection process is described, second, the signal processing is explained, and, third, some results of computer simulation are given.