Jin Longzhe

Snapshot imaging radar for moving target detection based on distributed compression sensing

Snapshot radar is microwave imaging technique based on antenna array signal processing, which can realize both of spatial resolution and temporal resolution of the observed scene. It has the characteristics of all-day, all-weather and fast imaging, therefore, it has wide application prospect in helicopter navigation, traffic monitoring, bridge building deformation detection and other fields. In this paper, distributed compression sensing signal processing technology is applied to snapshot imaging radar for moving target detection, and imaging model and method are deduced. Then, snapshot radar sequence experimental images focused via traditional algorithm and distributed compression sensing algorithm are analyzed, which shows that the algorithm of this paper requires only one fifth of echo data compared with the traditional algorithm.

Application of COMSOL Multiphysics numerical simulation method on dust control

Dust pollution has not only brought hidden problems to production safety in the plant, but also affected human health seriously. Because of the migration process and complexity of the oil shale dust in the ATP process, nonlinear partial differential equation of higher order is often employed as the mathematical model to describe its migration. This paper has established the gas-solid two-phase mathematical model for the movement oil shale dust, and adopted the software of COMSOL Multiphysic to simulate the established model. The results showed that: The dust elimination method of separately set closed system can not eliminate the positive pressure generated by blanking at transit point. To induce the negative pressure when setting closed system, it can produce a reasonable negative pressure at transit point, thus effectively controlling the escape of dust at the transit point. According to the conclusions of the present study, the author puts forward the control technology of dust pollution at transit point in ATP process.