【摘要】 为适应0.14THz超高分辨雷达实时成像的需求,开发了基于CPU+GPU+FPGA的硬件架构和成像处理算法,算法以距离-多普勒为原型,引入L类维格纳分布变换提高横向分辨力,用Keystone变换方法对越距离单元徙动进行校正,并开发了系统非线性补偿算法。在载频0.14THz、带宽5GHz雷达样机上进行了逆合成孔径雷达成像试验,获得了3cm×3cm的成像分辨力和实时成像能力,验证了信号处理方法的有效性。更多还原

【Abstract】 A real-time signal processing system was designed for the 0.14 THz high resolution imaging radar.The hardware structure was established using CPU+GPU+FPGA to enhance its operation ability.In this inverse synthetic aperture radar(ISAR),the range-Doppler algorithm is used to get higher imaging speed,and L-class Wigner-Ville distribution(LWVD) is adopted to improve the cross-range resolution.An algorithm called Keystone transformation is used to dispose the time domain signal by de-chirp processing,and it eliminates the migration through resolution cell(MTRC) in the target imaging.A method of chirp nonlinearity compensation for the imaging system was also proposed.This signal processing module was applied to a terahertz radar system with 0.14 THz carrier frequency and 5 GHz bandwidth.ISAR images were obtained by using this THz radar system with 3 cm resolution in both range and cross-range profiles,showing the validity of the signal processing method.更多还原