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Iterative Fourier filtering approach for phase-retrieval holography based on autocorrelation theorem

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The Misell algorithm is an effective phase-retrieval holography method for measuring the surface error of large reflector antennas. However, it is investigated experimentally to have a low accuracy at low… Click to show full abstract

The Misell algorithm is an effective phase-retrieval holography method for measuring the surface error of large reflector antennas. However, it is investigated experimentally to have a low accuracy at low signal-to-noise ratio (SNR). To decrease the great sensitivity to noise of Misell algorithm, a new iterative Fourier filtering approach based on autocorrelation theorem is proposed. The iterative Fourier filtering approach is used to remove some of the imperfection present in far-field amplitude data. The computer simulation results of Shanghai Sheshan-25m-telescope model show that the proposed approach improved the accuracy of Misell algorithm at low SNR obviously.

Keywords: fourier filtering; iterative fourier; phase retrieval; approach; filtering approach

Journal Title: Electronics Letters
Year Published: 2017

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