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Estimation of the far-field centre is carried out in beam auto-alignment.In this paper,the features of the far-field of a square beam are presented.Based on these features,a phase-only matched filter is designed,and the algorithm of centre estimation is developed.Using the simulated images with different kinds of noise and the 40 test images that are taken in sequence,the accuracy of this algorithm is estimated.Results show that the error is no more than one pixel for simulated noise images with a 99% probability,and the stability is restricted within one pixel for test images.Using the improved algorithm,the consumed time is reduced to 0.049 s.
Estimation of the far-field center is carried out in beam auto-alignment. In this paper, the features of the far-field of a square beam are presented. Based on these features, a phase-only matched filter is designed, and the algorithm of center estimation is developed. Using the simulated images with different kinds of noise and the 40 test images that are taken in sequence, the accuracy of this algorithm is estimated. Results show that the error is no more than one pixel for simulated noise images with a 99% probability, and the stability is restricted within one pixel for test images. Using the improved algorithm, the consumed time is reduced to 0.049 s.