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基于角度域谱分析的雷达成像研究
  • ISSN号:1006-9348
  • 期刊名称:《计算机仿真》
  • 时间:0
  • 分类:TN957[电子电信—信号与信息处理;电子电信—信息与通信工程]
  • 作者机构:[1]西北工业大学电子信息学院,陕西西安710129
  • 相关基金:国家自然科学基金(61102018);空间微波技术重点实验室(9140C530303110C5304)
中文摘要:

传统小角度雷达成像算法为获得高质量目标像,需要在角度域及频域具有高采样率.针对此问题,提出了一种基于角度域谱分析、频域聚焦的高信噪比小角度雷达成像算法,严格推导了最大不模糊距离以及分辨率计算公式.较传统小角度成像算法,有效地降低了角度域及频域采样率,并且显著地提高了图像信噪比.最后,在Ka波段下通过仿真对该算法进行了验证.仿真结果表明,转台成像方法能够得到高质量高分辨率的目标二维像,并具有有效降低角度域及频域采样率和提高图像信噪比的能力.

英文摘要:

In order to acquire high quality images of targets,the traditional small-angle radar imaging algorithms need high sampling rate in both of the angle-domain and the frequency-domain.To solve the problem,this paper presented a high Signal to Noise Ratio (SNR) small-angle radar imaging algorithm from the fundamental formula of 2 -Dimensional radar imaging,which is based on the spectral analysis in angle-domain and focused in frequency-domain.Meanwhile,the formulas of the Maximum Unambiguous Range(MUR) and the resolution were deduced strictly.In contrast to the traditional small-angle imaging algorithms,the proposed algorithm can decrease the sampling rate in both of the angle-domain and the frequency-domain effectively,and increase the SNR of the image obviously.At last,the proposed algorithm was testified by the simulated results in Ka-band.The results show that the proposed method can be used to acquire high quality and high resolution of 2-Dimensional images of targets,and has the ability of decreasing the sampling rate in both of the angle-domain and the frequency-domain,increasing the SNR of the image effectively.

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期刊信息
  • 《计算机仿真》
  • 北大核心期刊(2011版)
  • 主管单位:中国航天科技科工集团公司
  • 主办单位:中国航天科工集团公司第十七研究所
  • 主编:吴连伟
  • 地址:北京市海淀区阜成路14号
  • 邮编:100048
  • 邮箱:jsjfz@compusimu;kwcoltd@public.bta.net.cn
  • 电话:010-59475138
  • 国际标准刊号:ISSN:1006-9348
  • 国内统一刊号:ISSN:11-3724/TP
  • 邮发代号:82-773
  • 获奖情况:
  • 国内外数据库收录:
  • 中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:38378