摘要
针对平台高速机动下的传统空域抗干扰方法失效的问题,分析了传统波束形成零陷展宽方法的原理,在此基础上对传统基于协方差矩阵锥化的零陷展宽方法进行了改进,采用对干扰样本数据进行修正的方法,实现零陷展宽.仿真结果表明,相比传统方法,改进方法在应用于子阵级自适应阵列处理时,不再需要估计全阵的协方差矩阵,可适用于任意结构的自适应阵列处理器.实测数据试验结果验证了本文方法抗干扰的有效性.
A distributed real-time processing system based on a multi-processor cluster is designed to address the storage bottleneck and processing-delay problem in high-resolution and wide-swath airborne SAR imaging.This system employs a star topology network based on serial rapid IO(SRIO)high-speed interconnection to mini-mize inter-processor communication overhead.By implementing range segmentation and load-balancing strate-gies,this system optimizes task allocation mechanisms,reduces remote operations and leverages the advantages of multi-node collaboration processing to significantly decrease memory requirements and processing latency.The test results verifies the feasibility and effectiveness of the SAR real-time processing system.
作者
高超
GAO Chao(No.38 Research Institute,China Electronics Technology Group Corporation,Hefei 230088,China;Key Laboratory of Aperture Array and Space Application,Hefei 230088,China)
出处
《空天预警研究学报》
2025年第4期244-247,共4页
JOURNAL OF AIR & SPACE EARLY WARNING RESEARCH
关键词
高机动
波束形成
零陷展宽
数据修正
airborne SAR
range segmentation
load balancing
real-time processing
