首页|期刊简介|投稿指南|分类索引|刊文选读|订阅指南|资料|样刊邮寄查询|常见问题解答|联系我们
董晨曦,陈华丽. 基于先验知识的降维自适应时域滤波器[J]. 科学技术与工程, 2020, 20(20): 8233-8238.
DONG-Chenxi.Research on Reduced-Dimensional Adaptive Time Domain Filter Based on Prior Knowledge[J].Science Technology and Engineering,2020,20(20):8233-8238.
基于先验知识的降维自适应时域滤波器
Research on Reduced-Dimensional Adaptive Time Domain Filter Based on Prior Knowledge
投稿时间:2019-08-26  修订日期:2020-04-19
DOI:
中文关键词:  机载雷达  先验知识  时域滤波器  干扰抑制  
英文关键词:airborne radar  prior knowledge  time domain filter  interference rejection  
基金项目:
     
作者单位
董晨曦 武汉科技大学
陈华丽 武汉科技大学
摘要点击次数: 15
全文下载次数: 12
中文摘要:
      为了灵活调节时域滤波器各频率处能量以及利用先验知识提高机载雷达抑制杂波、干扰信号的性能,本文提出一种基于先验知识的降维自适应时域滤波器设计算法。首先结合先验知识和常规测向、测距方法,分别估算出杂波功率谱和干扰的空时信息;再通过这些信息,设计降维处理中时域滤波器各频率区域的增益;最后利用凸优化思想设计最优时域滤波器。结果表明:本文设计的时域滤波器通过分配不同区域的能量,保证在地杂波和干扰的多普勒区域处形成深宽凹口,不仅抑制了地杂波,还能够改善位于主杂波区域的压制性干扰,极大提高了机载雷达在复杂环境中检测目标的能力。
英文摘要:
      In order to flexibly adjust the energy at each frequency of the time domain filter and improve the performance of airborne radar to suppress clutter and interference signals by using prior knowledge, this paper proposes a time domain filter design algorithm based on prior knowledge of dimension reduction adaptive processing. Firstly the prior knowledge and conventional direction finding and ranging methods are combined to estimate the clutter power spectrum and the interference. Then, the information is used to design the gain of each frequency region of the dimension reduction processing. Finally, convex optimization idea design optimal time domain filter. The result show that the time domain filter designed in this paper distributes the energy of different regions to ensure the formation of deep and wide notches at the ground clutter and interference Doppler region, which not only suppresses ground clutter, but also improves the suppression in the main clutter region. These greatly improves the ability of airborne radar to detect targets in complex environments.
查看全文  查看/发表评论  下载PDF阅读器
关闭
你是第31637432位访问者
版权所有:科学技术与工程编辑部
主管:中国科学技术协会    主办:中国技术经济学会
Tel:(010)62118920 E-mail:stae@vip.163.com
京ICP备05035734号-4
技术支持:本系统由北京勤云科技发展有限公司设计

京公网安备 11010802029091号