A focusing algorithm for the optical array imaging system

In previous articles, an optical array imaging system has been presented. In this system, array data is collected using laser light, and the eigenvector with the largest eigenvalue is derived to form an image of the object. Single-point-focusing, however, is sometimes not achieved when the object has several competitive reflective parts. Using a subset of the array data was shown to be effective but the processing was quite time-consuming. In this paper, an algorithm for estimating in a very short time the optimum subapertures is presented. First, the two apertures are optimized iteratively one by one, second, each optimization is carried out in a sequential way using a limited number of subaperture candidates, and, third, a linear prediction and the correlation-based initial value are used in the eigenvector derivation using the power method