Helicopter-borne synthetic aperture radar (SAR) is an effective technical means for all-weather, all-time maneuverable reconnaissance. It has significant military application value. At present, the low imaging frame rate makes it difficult to meet the need for accurate dynamic monitoring of dynamic targets. It is urgent to study the helicopter-borne terahertz (THz) SAR technology with high frame rate imaging capability. In response to this demand, this project focuses on the special terahertz imaging problems introduced by the multi-resonant vibration of helicopter platforms, and studies the multi-resonant phase error modeling and compensation methods for helicopter-borne THz-SAR, and surrounds the multi-resonant residual video phase (MRVP) error compensation, multi-resonance range cell migration correction, and other key issues, breaks through the key techniques of multi-resonant echo phase error modeling, multi-component vibration parameter estimation, and multi-resonant phase error compensation to establish a THz-SAR multi-resonant phase error model and method. It is verified mainly based on computer simulation, and the semi-physical simulation verification is also performed based on actual radar system and helicopter platform vibration data. This project will provides the model and method basis for helicopter-borne SAR imaging.
直升机载合成孔径雷达(SAR)是全天时全天候机动快速侦察的有效技术手段,具有重大军事应用价值。目前其成像帧率低导致难以满足对动态目标进行精确化动态监视的需求,急需研究具有高帧率成像能力的直升机载太赫兹(THz)SAR技术。面向这一需求,本项目重点针对直升机平台多谐振振动引入的太赫兹成像特殊性问题,研究直升机载THz-SAR多谐振相位误差建模与补偿方法,围绕成对回波多谐振残留视频相位(Multiresonant Residual Video Phase, MRVP)误差补偿、多谐振距离徙动校正等关键问题,突破多谐振回波相位误差建模、多分量振动参数估计和多谐振相位误差补偿关键技术,建立THz-SAR多谐振相位误差模型与方法,以计算机仿真验证为主,并结合实际雷达系统和直升机平台振动数据进行半物理仿真验证,为直升机载SAR成像提供模型和方法基础。
本项目在深入研究SAR平台振动补偿的理论和方法的基础上,结合直升机多级谐振的振动模型,通过研究这类具体的运动补偿问题,解决直升机载THz-SAR成像中的关键技术问题,从而丰富和完善现有高分辨率机载SAR成像理论模型和方法。重点发现影响振动补偿的残余相位误差模型,通过振动多普勒历程一致校正实现补偿。对平台振动相位误差补偿提供了理论依据,最终利用实测直升机振动数据完成半物理仿真对理论进行验证。
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数据更新时间:2023-05-31
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