Displaced phase center antenna imaging method based on lq regularization
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 Fewer resources, strong robustness, the effect of suppressing clutter interference
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[0017] Sparse signal processing, as a frontier topic in the field of signal and information processing research in recent years, has attracted extensive 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 a faster convergence speed, a stronger ability to resist additive noise interference, and a concise implementation method, so this type of algorithm has been widely used in engineering fields related to sparse signal processing . In the application of synthetic aperture radar imaging, the existing research results show that based on l q The regularized iterative threshold algorithm can effectively suppress the sidelobe and clutter interference in the radar image, and can remove the range / azimuth ambiguity caused by spectrum aliasing.
[0018] For this, we according to l q Regularization theory, acco...
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