This paper mainly deals with the problem of detecting and identifying target in close range, the performance of which will be effected by the radiometer's parameters and target's characteristics. According to the relationship between the range equation of the Passive Millimeter Wave (PMMW) and these parameters, we present a convenient statistical method based on PMMW image detection to solve the inherent problem by statistical radiometer parameters, which can be achieved by the W band radiometer experimental data. Finally, we validate the method by simulation and experiment. The results show that the method is convenient for detecting and identifying target in close range.
In this paper, a novel model is presented for Passive Millimeter Wave Imaging (PMMWI) in the near diffraction limited range. A compact W band super-heterodyne Dicke-radiometer is designed based on the research of the model. A super-resolution algorithm is adopted in order to solve the inherent problem of poor resolution imaging, which is caused by limited aperture dimensions and the consequent diffraction limit. Theoretical researches indicate that the super-resolution performance and spatial resolution are enhanced by this model and algorithm in the near diffraction limited range.
In this paper, a new approach is described to generate passive millimeter-wave (PMMW) simulation image for multibeam reflector antenna (MBA). This approach includes material radiation parameter database building, multibeam antenna pattern computing and system scanning method design. As an efficient way to predict the performance of a PMMW imager, PMMW imaging simulation is a key component for system design.
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