基于GPU的软件化雷达恒虚警概率算法实现  

Software radar Constant False-Alarm Rate algorithm implementation based on GPU

作　　者：贾可[1] 李世丹[1] 郭燕[1] 王德生[1] 

机构地区：[1]清华大学电子工程系,北京100084

出　　处：《信息与电子工程》2012年第5期525-527,533,共4页information and electronic engineering

摘　　要：高效实现恒虚警概率检测(CFAR)是新型雷达终端信号处理系统研制的重要部分。在基于图形处理器(GPU)的软件化雷达终端架构下,采用统一计算设备架构(CUDA)技术,并根据GPU的特点对算法实现进行优化,实现了高效的软件化CFAR算法,相比CPU软件实现大大缩短了数据处理时间,能够满足雷达信号处理对实时性的需求,同时验证了研发基于GPU的软件化雷达终端具有较高的可行性。Efficient implementation of Constant False-Alarm Rate(CFAR) detector plays an important role in the development of signal processing system of new radar terminal.Under the Graphic Processing Unit(GPU) based software radar terminal architecture,this paper optimizes the CFAR algorithm implementation on GPU by using Compute Unified Device Architecture(CUDA) technology,which cuts data processing time tremendously compared to CPU implementation.The requirements of real-time for radar signal processing can then be satisfied,and the feasibility of the development of GPU based software radar terminal is verified.

关 键 词：图形处理器 计算设备架构 恒虚警概率检测 雷达信号处理 雷达终端 

分 类 号：TN957.51[电子电信—信号与信息处理]