摘要
雷达信号的恒虚警率(constant false alarm rate,CFAR)检测技术是雷达目标检测的有效方法,二维CFAR检测利用了频域信息,增加了参考单元,能有效地降低虚警。为了降低传统方法因频繁数据寻址引入的时间开销,提出以空间换时间的策略,通过合理调度数字信号处理器(digital signal processing,DSP)资源,配合优化措施,有效地把传统CFAR检测的逐点实现方法改进为数据块矩阵操作,减少了数据管理复杂度。实测数据实现结果表明处理效率提高8倍以上,验证了方法的有效性。
Constant false alarm rate （CFAR） detection is an important technique in radar signal processing application, two-dimensional CFAR detection adopts more referenced cells of frequency domain to decrease the false alarm rate. In order to reduce the time overhead of data addressing of the traditional method, a strategy of conversion from space to time is proposed. By scheduling the digital signal processor resource and using some optimization measures, the point-by-point detection is transformed into data matrix block operations, the proposed strategy can reduce the complexity of data management effectively, and the results of realization with measured data show that there are above 8 times improvements, which verifies the validity of the proposed method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2009年第7期1627-1631,共5页
Systems Engineering and Electronics
基金
国家自然科学基金(60736009)
总装"十一五"预研项目(513070503)资助课题
关键词
二维恒虚警概率
数字信号处理TS201
数据寻址
two-dimensional constant false alarm rate
digital signal processing TS201
data addressing
