摘要
增加相参积累时间是一种提高雷达探测能力的有效方法,但当目标速度较高时,长时间相参积累会导致目标出现距离徙动效应,从而降低了信噪比,影响雷达的探测威力。针对距离徙动问题,本文给出了Keystone变换(KT)校正算法,仿真评估了三种实现KT方法的性能,进而提出并实现了基于图形处理器(GPU)的线性调频Z变换(CZT)并行算法,结合外辐射源雷达实验证实了该方法的实时性和有效性。
Increasing the coherent accumulation time is an effective method to improve radar detection capability.However,when target velocity is high,long-time coherent accumulation will lead to the range migration effect of the target,reduce the Signal-to-Noise Ratio,and affect the radar's detection power.Aiming at the range migration problem,Keystone Transform(KT)correction algorithm is given.The performance of three KT implementation methods are simulated and evaluated.Then,a parallel implementation algorithm based on Chirp Z Transform(CZT)on the Graphics Processing Unit(GPU)is proposed and implemented.Experimental results verify the real-time performance and effectiveness of the proposed method in combination with the passive radar system.
作者
张汉五
万显荣
谢德强
程丰
饶云华
熊良建
ZHANG Hanwu;WAN Xianrong;XIE Deqiang;CHENG Feng;RAO Yunhua;XIONG Liangjian(School of Electronic Information,Wuhan Hubei 430072;Shenzhen Research Institute,Shenzhen Guangdong 518000,Wuhan University,China;Luoyang College,Civil Aviation Flight University of China,Luoyang Henan 471001,China)
出处
《太赫兹科学与电子信息学报》
2021年第5期851-857,共7页
Journal of Terahertz Science and Electronic Information Technology
基金
国家自然科学基金资助项目(61931015,62071335)
湖北省科技创新资助项目(2019AAA061)
深圳市科技计划资助项目(JCYJ20170818112037398)。
