We fabricated a simple, compact, and stable temperature sensor based on an S-shaped dislocated optical fiber. The dislocation optical fiber has two splice points, and we obtained the optimal parameters based on the theory and our experiment, such as the dislocation amount and length of the dislocation optical fiber. According to the relationship between the temperature and the peak wavelength shift, the temperature of the environment can be obtained. Then, we made this fiber a micro bending as S-shape between the two dislocation points, and the S-shaped micro bending part could release stress with the change in temperature and reduce the effect of stress on the temperature measurement. This structure could solve the problem of sensor distortion caused by the cross response of temperature and stress. We measured the S-shaped dislocation fiber sensor and the dislocation fiber without S-shape under the same environment and conditions, and the S-shaped dislocation fiber had the advantages of the stable reliability and good linearity.

采用基于密度泛函理论的第一性原理平面波超软赝势方法，建立了纯InI超胞模型以及两种不同Pb 掺杂量的In_1-xPb_xI(x=0.125,0.25)超胞模型，结构优化后，计算了掺杂前后体系的能带结构、态密度和吸收光谱。几何结构的计算结果表明，随着Pb掺杂量的增加，掺杂体系晶格常数改变，体积减小，能量降低，结构更加稳定。电子结构的计算结果表明，掺杂后费米能级进入导带，掺杂体系均为高掺杂。同时，掺杂体系的最小光学带隙增大，电子有效质量减小，电导率增大。光学性质的计算结果表明，掺杂后吸收光谱蓝移，证明了Pb 掺杂使InI 最小光学带隙增大。所得结果为掺杂改善InI材料光电特性的实验研究提供理论指导。

Imaging laser radar can give intensity and range images, which provide integrated 3-dimensional (3D) information about objects. However, dropouts and range anomalies exacerbate range images, which makes their background cluttered and target blurred. For background suppression, a new algorithm that combines intensity image and its mean is presented. By using this algorithm to process actual laser radar range images, most background noises are suppressed. According to range anomalies characteristics, multi-template selection order mean filtering algorithm is presented and used for actual ladar range images where the distance between two targets is 77 m. This algorithm obtains the clear range image in which the interval of two objects is 75 m. The result shows that the processing algorithm is correct and effective.