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Article Abstract
The spatial phase distortion caused by a rough target causes a decoherence effect which, in turn, produces system sensitivity degradation. The decoherence phenomenon is the primary problem that restricts the application of active optical heterodyne detection, e.g., synthetic aperture radar and long-range coherent laser detection and ranging. By establishing a one-to-one correspondence between the combination of array signals and the system signal-to-noise ratio (SNR), a scheme for spatial phase distortion correction based on the intelligent optimization algorithm is proposed in this paper. The calculation of phase adjustments for each array signal is transformed into an optimization problem for the combination of array signals, experiments are conducted using rough target heterodyne images, and the parallel genetic algorithm (PGA) is used to calculate the phase adjustment of each array element. The results show that the spatial random phase distortion is corrected effectively without prior knowledge, and the PGA achieves an excellent computational performance which, along the efficiency of the proposed technology, has wide-scale implications for the application of active heterodyne detection and optical coherent communication.
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| http://dx.doi.org/10.1364/OE.448584 | DOI Listing |
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