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首页> 外文会议>ICCCI 2010;International conference on computer and computational intelligence >A New Method for Weak Signals' DOA Estimation in the Presence of Strong signals
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A New Method for Weak Signals' DOA Estimation in the Presence of Strong signals

机译：强信号存在下弱信号DOA估计的新方法

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摘要

A novel intelligent technique for weak signals' DOA estimation in the presence of strong jamming or signal is proposed, which transfer the problem of DOA estimation into a large mount of data intelligent learning and recognition problem. Firstly, the relationship between eigenvalue of the correlation matrix and signals' power is obtained according to the signal subspace theory. The upper triangular half of the correlation matrix and the eigenvalue of the correlation matrix of knowing direction signals are extracted to form training set together, then the weak signals' DOA estimation model based on RBFNN is constructed. Compared with the other methods of weak signals' DOA estimation using algebra calculation, the approach proposed in the paper needn't to acquire the direction of the strong signals and attenuate them. In addition, the new method has less computing burden and higher estimation accuracy. The experiments demonstrate its effectiveness and feasibility.
机译：提出了一种在强干扰或强信号存在下微弱信号DOA估计的新智能技术，将DOA估计问题转化为大量的数据智能学习与识别问题。首先，根据信号子空间理论，求出了相关矩阵的特征值与信号功率的关系。提取相关矩阵的上三角部分和已知方向信号的相关矩阵的特征值，共同构成训练集，构建基于RBFNN的弱信号DOA估计模型。与其他利用代数计算的弱信号DOA估计方法相比，本文提出的方法无需获取强信号的方向并将其衰减。另外，该新方法具有较少的计算负担和较高的估计精度。实验证明了其有效性和可行性。

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