To solve the problem of poor resolution in passive millimeter wave (PMMW) imaging, we present an improved maximum a posteriori (MAP) super-resolution algorithm.
针对无源毫米波成像中图像分辨率低的问题，提出了一种改进的最大后验(MAP)超分辨算法。
Passive millimeter-wave imaging is a hot research in the field of millimeter wave in the 90 's.
被动毫米波成像是毫米波技术领域90年代以来的一个研究热点。
Passive millimeter-wave (PMMW) imaging technology forms images by detecting natural occurring millimeter-wave radiation from the scene and targets.
无源毫米波成像技术是通过探测被测场景及目标在毫米波段的自然辐射实现成像的。
Passive millimeter-wave imaging has become a research hotspot in the area of millimeter-wave since the 1990s.
上世纪九十年代以来，被动毫米波成像是毫米波技术领域的一个研究热点。
The main works of this paper surrounds the passive millimeter wave imaging system structure, include of the radiation temperature test on different surface targets, image denoise, edge detection.
本文主要通过毫米波被动成像系统，完成了不同面目标的辐射温度测试，图像去噪处理，图像边缘检测等工作。
Main task of this dissertation is designing a multi-beam lens antenna to both improve the resolution and reduce the imaging time of the passive millimeter-wave imaging system.
本文的主要任务是针对提高毫米波无源成像系统的分辨率和减小成像时间而设计一个多波束透镜天线。
As an important part of Passive millimeter wave imaging system, data acquisition system plays an important role in PMMW imaging system performance.
高速数据采集系统作为被动毫米波雷达的重要组成部分，对于其性能的提高起着关键的作用。
Finally, with the other parts of the passive millimeter wave imaging system, successfully get the passive image of the target scene.
最后与毫米波无源成像系统的其他部分联合调试，成功地实现了对场景目标的被动成像。
Finally, with the other parts of the passive millimeter wave imaging system, successfully get the passive image of the target scene.
最后与毫米波无源成像系统的其他部分联合调试，成功地实现了对场景目标的被动成像。
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