| 摘要: |
| 针对传统测向方法实际应用性能较差的问题,提出了一种基于压缩感知的卫星干扰源定位方法。根据干扰信号方位角的空间稀疏性,建立了波达方向(DOA)估计模型,构造出基于阵列流型的过完备原子库和随机单位向量测量矩阵,最后结合信源估计技术和正交匹配追踪（OMP）算法实现干扰目标的方位估计。仿真验证了该方法能同时估计相干干扰信号的强度和角度，适合快速变化的干扰目标定位，并且具有较低的计算复杂度和更好的工程易用性。相关研究对压缩感知理论在卫星干扰源定位中的应用具有一定参考意义。 |
| 关键词: 卫星干扰源定位 波达方向估计 压缩感知 正交匹配追踪 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（61201089） |
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| Satellite interference localization based on compressive sensing theory |
| ZHAO Hongwei,LIU Bo,XIE Guangqian,LIU Heng |
| () |
| Abstract: |
| The conventional direction finding methods have poor performance in the actual application. A satellite interference localization method based on the compressive sensing(CS) theory is proposed. Based on the interference signal angle′s sparseness in angle space,the corresponding direction of arrival(DOA) model,and the over-complete dictionary of atoms and measuring matrix by randomly sampling unit vector are constructed. Combined with the source estimation technology,the estimation using orthogonal matching pursuit(OMP) algorithm is obtained. The simulation results show that the method can estimate simultaneously the coherent signal amplitude and bearing and is suitable for the rapidly moving interference targets. It has smaller computational load and better engineering usability. Research in this paper promotes the application of compressive sensing in satellite interference localization. |
| Key words: satellite interference localization direction of arrival estimation compressive sensing orthogonal matching pursuit |
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