Abstract
A modular and efficient Gaussian beam (GB) analysis method, incorporating frame-based Gabor transformation, GB reflection, and a 3D GB diffraction technique, was developed to analyze both the reflectors and frequency selective surface (FSS) in quasi-optical (QO) system. To validate this analysis method, a 3D dual-channel QO system operating at 183 and 325 GHz was designed and tested. The proposed QO system employs two-layer structure with a FSS of perforated hexagonal array transmitting the 325 GHz signal on the top layer while diverting the 183 GHz signal to the bottom layer. Measured results of the system demonstrate that the agreement can be achieved down to −30 dB signal level for both channels in the far field pattern. The discrepancy between the calculation and measurement is within 2 dB in the main beam region (2.5 times −3 dB beamwidth), verifying the effectiveness and accuracy of the proposed method.
Highlights
Quasi-optical network (QON) system normally consists of several feed horns and cascaded mirrors or other signalconditioning components
An increasing number of quasi-optical components, such as frequency selective surfaces (FSSs) and polarizing grids, are integrated into a QON system, demanding that the algorithm must be highly modular and able to interface with other computational methods
The diffracted Gaussian beam analysis (DGBA) and PMM methods are later integrated together in a visual design program to analyze QON system [11]. This method cannot be regarded as a rigorous 3D diffraction solution due to its 2D modeling nature. Another modular Gaussian beam analysis method based on 3D diffraction technique is proposed in [12] and this method can be integrated with FSS analysis in the same manner of DGBA
Summary
Quasi-optical network (QON) system normally consists of several feed horns and cascaded mirrors or other signalconditioning components. The other trend is that the operating frequency goes up to the terahertz band, where the dimension of the elements is in the order of hundreds and even thousands of wavelengths For these electrically large systems, Physical Optics (PO) method produces very accurate prediction on the electrical performance of a QON system, while suffering from heavy computational cost.
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