基于迭代自适应算法的多雷达融合成像

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• 英文论文题名：Multi-radar Fusion Imaging Based on Iterative Adaptive Algorithm
• 论文作者：董明 ; 许炯 ; 陈栋志 ; 陈如山
• 英文论文作者：Ming Dong ; Jiong Xu ; Dongzhi Chen ; Rushan Chen ; School of Electronic and Optical Engineering
• 年：2017
• 作者机构：南京理工大学电子工程与光电技术学院;
• 论文关键词：雷达成像 ; 迭代自适应算法 ; 数据融合 ; 信号稀疏模型
• 英文论文关键词：Radar imaging ; Iterative adaptive algorithm ; Data fusion ; Signal sparse model
• 会议召开时间：2017-05-08
• 会议录名称：2017年全国微波毫米波会议论文集（中册）
• 英文会议录名称：Proceedings of 2017 National Conference on Microwave and Millimeter Waves(NCMMW2017)
• 语种：中文
• 分类号：TN957.51
• 学会代码：ZDWB
• 会议名称：2017年全国微波毫米波会议
• 会议地点：中国浙江杭州
• 主办单位：中国电子学会
• 学会名称：中国电子学会微波分会
• 页数：4
• 文件大小：1030k
• 原文格式：D
• 会议级别：全国

摘要

传统单雷达成像系统的距离像分辨率受到发射信号频带宽度的制约,导致成像质量不高。本文针对这一问题,提出了一种基于迭代自适应算法(IAA)的多雷达频带融合成像方法。该方法依据雷达回波稀疏表示模型,利用多个雷达的不同频带数据,在加权最小二乘准则下最小化目标代价函数,通过内插外推手段获取未知频带的回波数据,从而实现融合过程,得到全频带回波。仿真实验表明,通过融合后的宽带回波所成像的分辨率高于单个子带的结果,成像质量得到了提高,从而验证了本文方法的有效性。
The range resolution of the traditional single radar imaging system is limited by the bandwidth of the transmitted signal, resulting in poor image quality. This paper presents a multi-radar band fusion imaging method based on iterative adaptive algorithm(IAA). Based on the radar echo sparse representation model, this method uses the echo data of different radars to minimize the target cost function under the weighted least squares criterion. Then, we can obtain the echo data of the unknown band by interpolation and extrapolation and realize the fusion process, getting of the radar echo for the whole band. The simulation results show that the image quality is improved by the resolution of the broadband echo after fusion, which is better than that of the single sub-band, which verifies the effectiveness of the method.

引文

1 P.Stoica,J.Li,J.Ling and Y.Cheng,"Missing data recovery via a nonparametric iterative adaptive approach,"2009 IEEE International Conference on Acoustics,Speech and Signal Processing,Taipei,2009,pp.3369-3372.
    2 M.Xue,L.Xu,J.Li and P.Stoica,"IAA spectral estimation:Fast implementation using the Gohberg-Semencul factorization,"2011 IEEE International Conference on Acoustics,Speech and Signal Processing(ICASSP),Prague,2011,pp.4304-4307.
    3 L.C.Potter,Da-Ming Chiang,R.Carriere and M.J.Gerry,"A GTD-based parametric model for radar scattering,"in IEEE Transactions on Antennas and Propagation,vol.43,no.10,pp.1058-1067,Oct 1995.
    4 王成,胡卫东,杜小勇,郁文贤.稀疏子带的多频段雷达信号融合超分辨距离成像[J].电子学报,2006,(06):985-990.