基于空变多普勒参数聚类的微波光子ISAR高精度成像方法OA北大核心CSTPCD

Due to its large bandwidth and high resolution in the range dimension,microwave photonic radar enables finer information extraction for important targets such as ships through inverse synthetic aperture radar(ISAR)imaging,which is crucial for maritime surveillance.However,under the ultra-high resolution characteristics,the three-dimensional spatially variant Doppler parameters caused by target rotation can lead to image defocusing.In two-dimensional echo do-main imaging,regional compensation processing is necessary,but existing methods cannot achieve adaptive regional seg-mentation,making it difficult to achieve two-dimensional ultra-high resolution imaging.To address these issues,this paper proposes a high-precision microwave photonic ISAR imaging method based on spatially variant Doppler parameter cluster-ing.Firstly,the echo model of microwave photonic ISAR ship target is established,and the three-dimensional spatial vari-ability characteristics of Doppler parameters are derived.The necessity of two-dimensional regional compensation process-ing is analyzed.Then,by separating strong scattering points,adaptive estimation and interpolation of Doppler parameters,a mapping relationship between each scattering point of the target and the two-dimensional Doppler parameter is established.Clustering processing in the two-dimensional Doppler parameter domain is performed to achieve adaptive optimal segmen-tation of spatially variant Doppler parameters,laying the foundation for high-precision regional compensation processing.Finally,regional non-spatially variant two-dimensional phase consistency compensation processing is carried out to achieve ultra-high resolution imaging of microwave photonic ISAR.The effectiveness of this method is validated through simula-tion and experimental data processing.