摘要
常规雷达数据处理技术通常利用回波的距离、方位、多普勒、幅度等信息进行目标跟踪处理,而对于工作在复杂环境下具有低分辨率、低数据率和高虚警特点的雷达,有时候会产生多径航迹和虚假航迹较多等问题。为了提高雷达的跟踪性能,需要综合利用尽可能多的信息进行回波数据的处理。文中设计一种基于多维信息的数据处理新技术,该技术综合利用回波的距离、方位、多普勒、幅度、信噪比、目标航迹等多维信息进行自动跟踪,并利用频谱特征信息进行人工干预。
Traditionally,echo＇s characteristics,such as range,azimuth,Doppler and amplitude,were used to track target.However,for some radar,which is with low resolution,low data rate and high false track rate in complex environment,multi-path tracks and false tracks are sometimes resulted in.Thus,it is necessary to use much more characteristics to improve the efficiency of radar.In this paper,one novel data processing technique is first presented based on multi-characteristic.As to this technique,one function is to automatically track target by synthetically using echo＇s range,azimuth,Doppler,amplitude,signal-to-noise ratio and tracking characteristics.Simultaneously,the other one is to auxiliary track by using image characteristic of spectrum.
出处
《现代雷达》
CSCD
北大核心
2011年第4期37-40,共4页
Modern Radar
关键词
数据处理
信噪比
频谱
data processing
signal-to-noise ratio
spectrum
