自适应中值滤波在云雷达数据预处理的应用

为了解决毫米波雷达回波噪声的污染,剔除Ka波段雷达探测数据中的散点噪声,得到雷达真实的探测大气云粒子回波,采用自适应滤波方法,改进并使其适用于Ka波段雷达资料的噪声剔除,同时进行了理论分析和实验论证。结果表明,相对于传统的中值滤波,自适应滤波具有明显的滤波性能,不仅可以剔除噪声,并有效地保留了雷达探测数据的局部细节。

Study on active laser detection distance

Active laser detection based on cat-eye effect is a key technique in the photoelectric field. This technique combines the laser technique, image sensing technology and information processing technology on weak signals. There are many parameters that affect the active laser detection. The detection distance is one of the most important. Based on the retro-reflection power of the cat-eye system, several factors including the peak power of the transmit laser, the divergent angle of transmitting laser beam, atmospheric visibility, sensitivity of the detectors and the defocusing were analyzed to provide the mathematical model of the maximum detection distance. The results show that the following methods can increase the detection distance: decreasing the laser divergent angle, improving the sensitivity of the detection, choosing different laser lights according to different weather. The result is helpful to system design or measurement of active laser detection.