Regularization-Based Offset Phase Center Antenna Imaging Method
A technology of offset phase center and imaging method, which is applied in the direction of measuring device, radio wave measurement system, radio wave reflection/reradiation, etc., can solve the problems of calculation amount and memory loss that the data processor is unbearable, and achieve the occupation of The effect of less resources, short time, and strong robustness
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[0017] As a cutting-edge topic in the field of signal and information processing research in recent years, sparse signal processing has attracted widespread attention from scholars and experts in related fields in mathematics and engineering. In sparse signal processing theory, l q Regularization (0q The iterative threshold algorithm derived from the regularization model usually has fast convergence speed, strong resistance to additive noise interference and concise implementation, so this kind of algorithm has been widely used in engineering fields related to sparse signal processing. . In the application of synthetic aperture radar imaging, existing research results show that based on l q The regularized iterative threshold algorithm can effectively suppress side lobes and clutter interference in radar images, and can remove range / azimuth ambiguity caused by spectral aliasing.
[0018] To this end, we based on l q Regularization theory, according to the algorithm framewor...
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