雷达学报Issue(6)：666-674,9.DOI:10.12000/JR14005
一种联合优化的无源雷达实时目标检测算法
A Joint-optimized Real-time Target Detection Algorithm for Passive Radar
摘要
Abstract
Passive radar exploits an external illuminator signal to detect targets. It has the advantages of silence, anti-interference, and counter-stealth ability. In most cases, direct and multipath clutters should be suppressed first. Then coherent detection can be made by performing a cross-ambiguity function of the remaining target echoes and the reference signal. However, under a wide-band signal, a long-integration time, or multi-beam circumstances, a large number of computations and amount of memory is required for normal processing. This paper expresses the mathematical relationships of clutter suppression algorithms based on the Minimum Mean Square Error (MMSE) principle and coherent detection algorithms based on the cross-ambiguity function. Herein, a joint-optimize and processing method is presented. This method reduces the number of computations and amount of memory required, is easy to implement on GPU devices such as CUDA, and will be useful for engineering applications. Its high-efficiency and real-time properties are validated in the experimental results.关键词
无源雷达/目标检测/联合优化/实时处理Key words
Passive Radar/Target detection/Joint-optimize-and-processing/Real-time processing分类
信息技术与安全科学引用本文复制引用
赵永科,吕晓德..一种联合优化的无源雷达实时目标检测算法[J].雷达学报,2014,(6):666-674,9.基金项目
国家部委基金资助课题 （）
