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。
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。
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。
PMMW imaging technology has been applied widely in military affairs and civil applications such as battlefield reconnoitering, anti-terror detecting and security scanning.
无源毫米波成像技术在战场侦察、反恐探测、安检等军事、民事应用领域具有重要的实用价值。
Combining coherent technology with incoherent technology, the method can increase the number of image pixels, and therefore improve the spatial resolution of PMMW multi-beam imaging.
该方法将相干和非相干技术进行有效融合，能增加PMMW多波束成像像素，提高成像分辨率。
Combining coherent technology with incoherent technology, the method can increase the number of image pixels, and therefore improve the spatial resolution of PMMW multi-beam imaging.
该方法将相干和非相干技术进行有效融合，能增加PMMW多波束成像像素，提高成像分辨率。
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