首页 | 官方网站   微博 | 高级检索  
     

高机动雷达目标快速长时间混合积累算法
引用本文:周煦,许稼,钱李昌,龙腾.高机动雷达目标快速长时间混合积累算法[J].信号处理,2015,31(12):1547-1553.
作者姓名:周煦  许稼  钱李昌  龙腾
作者单位:北京理工大学信息与电子学院
基金项目:国家自然科学基金(61271391);长江学者奖励计划(T2012122);北京理工大学杰出中青年教师发展计划(NCET-13-0049);教育部新世纪优秀人才支持计划资助课题(BIT-JC-201205);部委基金项目(9140A21050114HT05338)
摘    要:长时间积累是提高雷达微弱目标检测性能的有效方法,但高速高机动目标的跨距离单元和跨多普勒单元现象严重限制了积累性能。为此,本文提出了一种长时间混合积累的新方法,将积累时间划分为若干个子孔径,在子孔径内同一个距离单元相参积累,在子孔径间实现高效的跨距离单元非相参积累。该方法中采用启发式搜索策略,有效地解决了遍历搜索中运动模型阶数增长带来的运算量爆炸问题。同时,其可通过高阶包络补偿有效降低信噪比损失。数值实验表明,新方法较现有混合积累方法可显著改善检测性能和降低运算量。 

关 键 词:混合积累    相参积累    非相参积累    启发式搜索    高机动目标
收稿时间:2015-09-09

Fast Long-time Hybrid Integration for Highly Maneuvering Radar Target Detection
Affiliation:School of Information and Electronics, Beijing Institute of Technology
Abstract:Long-time integration is an effective method to improve weak radar target detection performance. However, the problems of across range unit (ARU) and across Doppler unit (ADU) of high-speed and maneuvering targets severely limits the integration performance. A new long-time hybrid integration approach is proposed in this paper. It divides the coherent process interval (CPI) into several sub apertures, and implements coherent integration in the same rang unit for each sub aperture. Subsequently, it implements non-coherent integration among several sub apertures with compensation of ADU effect. Furthermore, it applies a heuristics search strategy to reduce the huge computational complexity with increase of the motion order. Besides, it can decrease the signal-to-noise ratio losses efficiently by compensating high-order envelope shift of moving targets. Finally, some numerical experiments are provided to illustrate the detection performance improvement as well as the computational burden reduction of the proposed method. 
Keywords:
点击此处可从《信号处理》浏览原始摘要信息
点击此处可从《信号处理》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号