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Improved Terahertz InISAR Imaging Method Based on Joint Processing of Dual-frequency Data
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摘要: 为提高太赫兹InISAR成像精度，该文提出了一种基于双频联合处理的成像方法。将雷达回波信号在快时间域分为两部分，分别按传统InISAR方法进行成像，再对两部分的成像结果进行比较分析，去除冗余点和坏点，得到最终的InISAR成像结果。针对飞机的散射点模型，给出了双频联合处理方法的InISAR成像结果，并仿真分析成像结果的均方根误差，结果表明，相比于传统InISAR成像方法，基于双频联合处理的InISAR成像方法在不同信噪比条件下均能有效提升成像精度。Abstract: To improve the imaging accuracy of Interferometry Inverse Synthetic Aperture Radar (InISAR), in this paper, we propose a novel method based on the joint processing of dual-frequency data. First, we divide the radar echo into two parts in the fast-time domain, then we apply the conventional InISAR method to each dataset. By comparing and analyzing the imaging results of the two parts, we can identify and remove redundant and bad pixels. Using the proposed joint processing method, we obtained the InISAR imaging results of a scatter model of an airplane and calculated the Root Mean Square Error (RMSE). The simulation results show that the proposed method can effectively improve imaging accuracy with different Signal-to-Noise Ratio (SNR).
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图 2 基于双频联合处理的太赫兹InISAR成像方法
Figure 2. The InISAR imaging method based on the joint processing of dual-frequency data
图 4 基于双频联合处理的InISAR 3维成像结果
Figure 4. The 3D InISAR imaging result based on the joint processing of dual-frequency data
图 5 传统InISAR 3维成像结果
Figure 5. The 3D InISAR imaging result based on the conventional method
图 6 本文方法与传统方法成像误差比较结果
Figure 6. The error comparison between the proposed method and the conventional method
表 1 成像仿真参数
Table 1. The main parameters of the imaging simulation
参数 数值 干涉基线长度 1 m 中心频率 330 GHz 带宽 20 GHz PRF 2 kHz 脉宽 400 μs 采样率 30 MHz 成像积累时长 0.6 s 目标运动速度 (300 m/s, 0, 0) 目标初始位置坐标 (0, 50 km, 10 km) 
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