| 一种基于周期平稳的鲁棒盲神经网络波束形成器 |
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| 引用本文： | 何振亚,陈宇欣.一种基于周期平稳的鲁棒盲神经网络波束形成器[J].电子与信息学报,2000,22(2):240-246. |
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| 作者姓名： | 何振亚 陈宇欣 |
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| 作者单位： | 东南大学无线电系DSP室南京 210096 |
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| 摘 要： | 本文提出了一种鲁棒的盲神经网络波束形成算法。该算法利用信号的周期平稳特性估计阵列的导引矢量,利用LCMV方法抑制噪声干扰,利用对角加载技术增强算法的鲁棒性,利用神经网络的网状计算结构特点便于其实现。理论分析和计算机仿真表明,该算法实现简单,鲁棒性强,易于实时应用。
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| 关 键 词： | 盲波束形成 周期平稳 对角加载 神经网络 鲁棒 |
| 收稿时间： | 1998-6-22 |
| 修稿时间： | 1998年6月22日 |
ROBUST BLIND NEURAL NETWORK BEAMFORMER BASED ON CYCLOSTATIONARY |
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| He Zhenya,Chen Yuxin.ROBUST BLIND NEURAL NETWORK BEAMFORMER BASED ON CYCLOSTATIONARY[J].Journal of Electronics & Information Technology,2000,22(2):240-246. |
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| Authors: | He Zhenya Chen Yuxin |
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| Affiliation: | Department of Radio Engineering Southeast University Nanjing 210096 |
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| Abstract: | A new blind beamformer with improved Hopfield network is presented in this paper. To estimate the steering vector, the signal property of cyclostationary is used. To suppress interference, traditional LCMV beamforming is employed. To improve the robustness, diagonal loading technique is exploited. To turn into realization in real time, a neural network structure is given. Simulations demonstrate the excellent performance of the proposed approach in a wide variety of situations. |
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| Keywords: | Blind beamforming Cyclostationary Diagonal loading Neural network Robust |
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