摘要
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。
In order to deal with the pollution caused by the noises embodied in the millimeter-wave radar data, and remove the noises from the data, a so-called method, adaptive median filtering, was adopted to get the true atmospheric cloud information data detected by a millimeter radar by means of theoretical analysis and experimental demonstration. The result shows compared with traditional median filtering, this kind of method displays more excellent capability filtering, and it not only can deal with the noises in the radar data, but also persist the partial details of the radar data.
出处
《激光技术》
CAS
CSCD
北大核心
2012年第2期221-224,共4页
Laser Technology
基金
国家自然科学基金资助项目(40975014)
关键词
激光技术
信号处理
毫米波雷达
散点噪声
自适应滤波
laser technique
signal processing
millimeter-wave radar
splatter noise
adaptive median filter