| 引用本文: | 王天云，刘冰，凌晓冬，刘勇，陈卫东. 存在站址误差下的无源雷达稀疏成像[J]. 雷达科学与技术, 2018, 16(3): 261-266.[点击复制] |
| WANG Tianyun, LIU Bing, LING Xiaodong, LIU Yong, CHEN Weidong. Sparse Passive Radar Imaging Under Transceiver Position Errors[J]. Radar Science and Technology, 2018, 16(3): 261-266.[点击复制] |
|
| 摘要: |
| 无源雷达稀疏成像要求精确已知系统观测矩阵，然而在实际应用中通常存在发射机和接收机站址误差，会使得雷达回波模型中的观测矩阵部分未知，导致回波测量值与观测矩阵失配，将大大减弱传统稀疏成像算法的性能。首先对存在收发阵元位置误差下的无源成像进行了建模分析，接着提出一种基于优化迭代技术的自适应相位误差校正成像方法，可以在重构目标图像的同时消除相位误差对无源成像的影响。仿真结果验证了所提成像方法的有效性。 |
| 关键词: 无源雷达成像 稀疏成像 相位误差校正 优化迭代技术 |
| DOI：10.3969/j.issn.1672-2337.2018.03.005 |
| 分类号:TN958 |
| 基金项目:国家自然科学基金(No.61401140)；国家863计划项目资助课题（No.2013AA122903)；中国博士后基金资助项目（No.2017M623444) |
|
| Sparse Passive Radar Imaging Under Transceiver Position Errors |
|
WANG Tianyun, LIU Bing, LING Xiaodong, LIU Yong, CHEN Weidong
|
|
China Satellite Maritime Tracking and Control Department, Jiangyin 214431, China
|
| Abstract: |
| Passive radar sparse imaging requires accurate known system observation matrix, but in practical situation there usually exists transceiver position errors, which makes observation matrix of radar echo model partially unknown. It inevitably leads to radar echo measurements and observation matrix mismatch, thus seriously degrades the performances of traditional sparse imaging methods. In this paper, passive radar imaging under the position error of the transceiver elements is analyzed firstly. Then, an adaptive phase error correction imaging method based on optimized iterative technique is proposed, which can eliminate the phase error pair while reconstructing the target image. Simulation results verify the effectiveness of the proposed method. |
| Key words: passive radar imaging sparse imaging phase error correction optimized iterative technique |
