宇航学报

宇航学报 ›› 2012, Vol. 33 ›› Issue (2): 210-216.doi: 10.3873/j.issn.1000-1328.2012.02.009

• 电子信息 • 上一篇    下一篇

基于虚拟基线变换和RBFNN的宽频段DOA估计

李鹏飞, 张旻, 钟子发   

  1. 1.合肥电子工程学院，合肥 230037； 2.安徽省电子制约技术重点实验室，合肥 230037
  • 收稿日期:2011-01-19 修回日期:2011-03-24 出版日期:2012-02-15 发布日期:2012-02-21
  • 作者简介:1000-1328（2012）02-0210-7
  • 基金资助:
    国家自然科学基金（60972161）

Broadband Direction of Arrival Estimation Based on Virtual Baseline Transformation and RBFNN

LI Peng-fei, ZHANG Min, ZHONG Zi-fa   

  1. 1.Electronic Engineering Institute of Hefei, Hefei 230037, China;
    2.Key Laboratory of Electronic Restricting Technique，Hefei 230037, China
  • Received:2011-01-19 Revised:2011-03-24 Online:2012-02-15 Published:2012-02-21

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摘要： 提出利用虚拟基线变换的方法解决了频率高端的相位模糊，克服由于相位模糊性造成的方向特征的多值模糊问题，从而简化了从方向特征到波达方向的映射关系。提取无模糊的方向特征，训练RBF神经，进行宽频段波达方向估计。理论分析和试验表明，该解模糊方法计算量小，能有效消除圆阵列的相位模糊，适用阵元数大于等于5的任意均匀圆阵列天线（6元除外）；利用解模糊后的特征建立的DOA估计模型结构简单，性能大大优于直接建模和相关干涉仪法，具有优越的性能和工程实用性。

关键词: 解模糊, 虚拟基线, 宽频段, 神经网络, 波达方向

Abstract: The technique of virtual baseline transformation is proposed to solve the phase ambiguity in the paper. It overcomes the multi-valued problem in the high frequency band effectively, and the mapping from directional feature to DOA becomes very simple. Then the unambiguous directional feature is used to train the Radial Basis Function Neural Network (RBFNN) for estimating the direction of arrival in broadband. The analysis and experimental results show that this method has a little computing burden and can avoid the phase ambiguity effectively. Further, the method is proved to be applicable to any uniform circular array (UCA) whose elements are equal or more than 5(expect 6)；The structure of DOA estimation model training with ambiguous directional features is simple, and the performance of model is better than modelling directly and correlation interferometer. So the proposed DOA estimation approach has a broad application future.

Key words: Solve ambiguity, Virtual baseline, Broadband, Neural network, Direction of arrival(DOA)