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

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.

Inspec keywords: Fourier analysis; radiotelescopes; filtering theory; reflector antennas; iterative methods; holography; correlation methods

Other keywords: surface error measurement; Misell algorithm; noise sensitivity; phase-retrieval holography; Shanghai Sheshan-25m-telescope model; SNR; large reflector antennas; iterative Fourier filtering; signal-to-noise ratio; far-field amplitude data; autocorrelation theorem

Subjects: Interpolation and function approximation (numerical analysis); Radioastronomical techniques and equipment; Single antennas; Holography; Radiotelescopes; Numerical approximation and analysis; Holography; Filtering methods in signal processing

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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2017.1357
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