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基于波形选择的MIMO雷达三维稀疏成像与角度误差校正方法
引用本文:杨杰,廖桂生,李军,党博,刘长赞.基于波形选择的MIMO雷达三维稀疏成像与角度误差校正方法[J].电子与信息学报,2014,36(2):428-434.
作者姓名:杨杰  廖桂生  李军  党博  刘长赞
作者单位:西安电子科技大学雷达信号处理国家重点实验室 西安 710071
基金项目:国家自然科学基金(61271292),国家973计划项目(2010CB731903)和西安电子科技大学基本科研业务费(k50511020003)资助课题
摘    要:该文研究稀疏目标场景下,波形选择对基于压缩感知理论的MIMO雷达成像效果的影响并提出一种改进的成像角度误差校正方法。首先分析了模糊函数和压缩感知匹配字典的相关系数之间的关系;然后,在空间小角度域情况下,针对成像场景中的角度误差,提出一种改进的基于迭代最小化的稀疏学习(SLIM)算法进行校正。仿真结果表明,选择具有较低旁瓣模糊函数的发射波形可以提高成像质量,改进的SLIM算法可以有效补偿角度误差。

关 键 词:MIMO雷达  稀疏成像  波形选择  角度误差校正  基于迭代最小化的稀疏学习(SLIM)
收稿时间:2013-04-16

Three Dimensional MIMO Radar Imaging Using Sparse Model Based on Waveform Selection and Calibration Method in the Presence of Angle Imperfections
Yang Jie Liao Gui-sheng Li Jun Dang Bo Liu Chang-zan.Three Dimensional MIMO Radar Imaging Using Sparse Model Based on Waveform Selection and Calibration Method in the Presence of Angle Imperfections[J].Journal of Electronics & Information Technology,2014,36(2):428-434.
Authors:Yang Jie Liao Gui-sheng Li Jun Dang Bo Liu Chang-zan
Affiliation:National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
Abstract:The effect of waveform selection on compressive sensing MIMO radar imaging using sparse model and an improved calibration method in the presence of angle imperfections are researched in this paper. Firstly the relationship between ambiguity function and Compressive Sensing (CS) “dictionary coherence coefficient” is analyzed. Then, in the presence of small spatial angle, an improved method based on “Sparse Learning via Iterative Minimization” (SLIM) algorithm is proposed to calibrate angle errors. Simulation results illustrate that the imaging quality can be enhanced when selected waveforms have low sidelobes and prove that the modifed method can calibrate angle errors effectively.
Keywords:MIMO radar  Imaging using sparse model  Waveform selection  Angle imperfections calibration  Sparse Learning via Iterative Minimization (SLIM)
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