北京航空航天大学学报 ›› 2017, Vol. 43 ›› Issue (1): 79-85.doi: 10.13700/j.bh.1001-5965.2016.0074

• 论文 • 上一篇    下一篇

基于压缩感知的近距离电磁辐射源定位方法

谷晓鹏, 谢树果, 郝旭春   

  1. 北京航空航天大学 电子信息工程学院, 北京 100083
  • 收稿日期:2016-01-21 出版日期:2017-01-20 发布日期:2016-06-29
  • 通讯作者: 谢树果,E-mail:sgx888@163.com E-mail:sgx888@163.com
  • 作者简介:谷晓鹏,男,博士研究生。主要研究方向:电磁兼容、频谱管理、信号源定位;谢树果,男,博士,教授,博士生导师。主要研究方向:电波传播、天线及雷达信号处理、复杂系统电磁兼容预设计与评估、电磁兼容测试;郝旭春,女,博士研究生。主要研究方向:电磁兼容、无线电测向。
  • 基金资助:
    国家自然科学基金(61271045,61427803)

Location method of near distance electromagnetic radiation source based on compressive sensing

GU Xiaopeng, XIE Shuguo, HAO Xuchun   

  1. School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2016-01-21 Online:2017-01-20 Published:2016-06-29
  • Supported by:
    National Natural Science Foundation of China (61271045, 61427803)

摘要: 提出了一种近距离电磁辐射源定位方法,针对常规多通道阵列系统复杂、硬件成本高、体积大等弊端,提出单天线单通道运动虚拟阵列系统,实现近场定位功能。在此基础上,提出利用辐射源在被测区域空间位置上的稀疏性,采用不驻停运动采样,并结合压缩感知算法,用较少的采样数据重构计算得到辐射源数量与位置。在保证定位精度的前提下减少了采样数据量,并消除了阵元多次采样的时间延迟可能造成的误差影响。经过仿真验证了方法的可行性后,设计了用于实际测试的系统并进行实验,取得了良好的效果。

关键词: 电磁干扰, 故障定位, 近场, 虚拟阵列, 压缩感知

Abstract: A locating method of near distance electromagnetic radiation source is proposed in this paper. To avoid the disadvantages of complexity, high hardware cost and large volume of the conventional multi-channel array system, a single antenna motion virtual array system is proposed to realize the function of the near-field location. On the basis, the sparsity of the radiation source in the spatial position of the measured area is proposed. The number and position of the radiation sources are reconstructed with less sampling data by using the non-stop motion sampling and the compressive sensing method. The sampling data quantity is reduced under the premise of ensuring the location accuracy, and the error effect caused by the time delay of the multiple sampling in every array element is eliminated. The feasibility of the method is verified by simulation. Then the system is designed for the actual test and good results have been achieved in the experiment.

Key words: electromagnetic interference, fault location, near-field, virtual array, compressive sensing

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