| 基于神经网络的多波束天线自适应调零 |
| |
| 引用本文： | 陈长征,王华力,甘仲民. 基于神经网络的多波束天线自适应调零[J]. 通信学报, 2002, 23(4): 29-34 |
| |
| 作者姓名： | 陈长征 王华力 甘仲民 |
| |
| 作者单位： | 解放军理工大学,通信工程学院,江苏,南京,210016 |
| |
| 基金项目： | 国家自然科学基金重点资助项目(69931040) |
| |
| 摘 要： | 具有一定的干扰自适应调零能力是对了卫星通信系统的基本要求。本文结合多波束天线特性，提出了一种基于RBF神经网络的MVDR波束合成器干扰抑制方案。该方法可有效避免采样矩阵求逆带来的影响，收敛速度更快，对所需信号参数具有一定的顽健性。计算机仿真验证了该方法的可行性。
|
| 关 键 词： | 多波束天线 自适应调零 RBF神经网络 |
| 文章编号： | 1000-436X(2002)04-0029-06 |
| 修稿时间： | 2001-04-03 |
Neural network-based adaptive nulling with multiple-beam antennas |
| |
| CHEN Chang-zheng,WANG Hua-li,GAN Zhong-min. Neural network-based adaptive nulling with multiple-beam antennas[J]. Journal on Communications, 2002, 23(4): 29-34 |
| |
| Authors: | CHEN Chang-zheng WANG Hua-li GAN Zhong-min |
| |
| Abstract: | It is essential to satellite communication system with the ability of nulling interferenceadaptively. In this paper, radial basis function (RBF) neural network is applied to minimum variancedistortionless response (MVDR) beamformer for interference suppression problem with multiple beamantennas (MBA). This approach can effectively avoid the effect of direct sample matrix inversion (SMI), and owns faster convergence speed. At the same time, it is robust to the variation of desired signalparameter. Simulation results show the effectiveness of the proposed method. |
| |
| Keywords: | multiple beam antennas adaptive nulling MVDR RBF neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
