Multichannel synthetic aperture radar (SAR) in azimuth can resolve the contradiction between high resolution and wide swath faced with traditional SAR imaging. However, channel errors will degrade the performance of i...Multichannel synthetic aperture radar (SAR) in azimuth can resolve the contradiction between high resolution and wide swath faced with traditional SAR imaging. However, channel errors will degrade the performance of imaging. This paper compares the performances of four channel error estimation algorithms under different clutter distributions and SNR conditions. Further, explanations are given for performance differences of the four algorithms, which provide evidence for method selection in engineering applications.展开更多
Synthetic Aperture Radar three-dimensional(3D)imaging enables the acquisition of more comprehensive information,making it a recent hotspot in radar imaging.Traditional 3D imaging methods have evolved from 2D and inter...Synthetic Aperture Radar three-dimensional(3D)imaging enables the acquisition of more comprehensive information,making it a recent hotspot in radar imaging.Traditional 3D imaging methods have evolved from 2D and interferometric imaging,combining elevation aperture extension with signal processing techniques.Limitations such as long acquisition or complex system from its imaging mechanism restrict its application.In recent years,rapid development of artificial intelligence has led to a swift advancement in radar,injecting new vitality into SAR 3D imaging.SAR microwave vision 3D imaging theory,which is built upon advanced technologies,has emerged as a new interdisciplinary field for radar imaging.This paper reviews SAR 3D imaging’s history and present situation,and introduces SAR microwave vision.We establish a theoretical framework covering representation models,computational models,processing paradigms and evaluation systems.Additionally,our research progress in this area is discussed,along with future prospects for SAR microwave vision 3D imaging.展开更多
文摘Multichannel synthetic aperture radar (SAR) in azimuth can resolve the contradiction between high resolution and wide swath faced with traditional SAR imaging. However, channel errors will degrade the performance of imaging. This paper compares the performances of four channel error estimation algorithms under different clutter distributions and SNR conditions. Further, explanations are given for performance differences of the four algorithms, which provide evidence for method selection in engineering applications.
基金supported by the National Natural Science Foundation of China(61991420,61991421 and 61991424)
文摘Synthetic Aperture Radar three-dimensional(3D)imaging enables the acquisition of more comprehensive information,making it a recent hotspot in radar imaging.Traditional 3D imaging methods have evolved from 2D and interferometric imaging,combining elevation aperture extension with signal processing techniques.Limitations such as long acquisition or complex system from its imaging mechanism restrict its application.In recent years,rapid development of artificial intelligence has led to a swift advancement in radar,injecting new vitality into SAR 3D imaging.SAR microwave vision 3D imaging theory,which is built upon advanced technologies,has emerged as a new interdisciplinary field for radar imaging.This paper reviews SAR 3D imaging’s history and present situation,and introduces SAR microwave vision.We establish a theoretical framework covering representation models,computational models,processing paradigms and evaluation systems.Additionally,our research progress in this area is discussed,along with future prospects for SAR microwave vision 3D imaging.
