基于多照明源的三维近场被动雷达成像
3-D Near-Field Passive Radar Imaging Using Multiple Illumination Sources
AI总结：
本研究提出利用多照明源提升三维近场被动雷达成像性能，通过相干叠加和多频组合增强图像质量，验证了复杂结构目标的成像效果。
摘要：
近场（NF）被动雷达成像依赖于非合作发射机（Tx）对成像场景的照射。研究表明，通过使用不同位置的Tx天线获取的成像结果可以提高被动雷达成像的性能。一方面，多个Tx天线提供多样的照射视角，减少目标区域（TOIs）未被照射的可能。另一方面，不同照射条件下获得的成像结果的相干求和有助于抑制潜在的伪影。这种方法在成像具有凹结构的复杂物体（如二面体排列）时特别具有优势，因为由于多反射产生的鬼影高度依赖于配置。对于每种照射配置，使用单频反源求解器来重建目标区域的等效源，然后将所得单频图像通过相应的相位和幅度校正方法相干叠加。最后，获得的多频图像通过相干组合进一步提高成像质量。仿真和测量结果均被提出以验证该方法的有效性。
英文摘要：
Near-field (NF) passive radar imaging depends on the illumination of the imaging scene by a non-cooperative transmitter (Tx). It is demonstrated that combining imaging results obtained with Tx antennas at different positions can enhance the performance of passive radar imaging. On the one hand, multiple Tx antennas provide diverse illumination perspectives, reducing the likelihood of unilluminated regions on the targets of interest (TOIs). On the other hand, the coherent summation of imaging results obtained for different illuminations helps to suppress potential artifacts. This approach is in particular advantageous for imaging complex objects with concave structures such as dihedral arrangements, where the ghosts due to multiple reflections are highly configuration-dependent. For each illuminating configuration, a single-frequency inverse source solver is utilized to reconstruct the equivalent sources of the TOIs and the resulting single-frequency images are then superimposed coherently with corresponding phase and magnitude correction methods. The obtained multi-frequency images are finally coherently combined to enhance the imaging quality. Both simulation and measurement results are presented to validate the effectiveness of the approach.
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