| 实时自适应波束形成器的神经网络方法 |
| |
| 引用本文： | 郭强,王建.实时自适应波束形成器的神经网络方法[J].系统工程与电子技术,1994(4). |
| |
| 作者姓名： | 郭强 王建 |
| |
| 作者单位： | 中国舰船研究院南京船舶雷达研究所 |
| |
| 摘 要： | 作者在Ｈｏｐｆｉｅｌｄ神经网的基础上构造了一种实时处理的自适应波束形成网络。由于实际应用中神经元的联结矩阵有时是奇异的，文章引入正则化方法，有效地提高了网络解的稳定性和处理速度。为了降低编程复杂性，避免计算求协方差矩阵，作者还改进了一种网络，该网络用模拟电路实现不需要任何计算，并且便于用常规的模拟电路实时处理。仿真实验结果表明，这种网比传统的自适应方法有较好的收敛和跟踪性能。
|
| 关 键 词： | ￣＋神经网络，自适应波束形成，实时处理，网络，矩阵。 |
A Neural Network Based Approach to Realtime Adaptive Beamforming |
| |
| Guo Qiang and Wang Jian Nanjing Marine Radar Institute,China Ship Research & Deveolpment Academy.A Neural Network Based Approach to Realtime Adaptive Beamforming[J].System Engineering and Electronics,1994(4). |
| |
| Authors: | Guo Qiang and Wang Jian Nanjing Marine Radar Institute China Ship Research & Deveolpment Academy |
| |
| Institution: | Guo Qiang and Wang Jian Nanjing Marine Radar Institute,China Ship Research & Deveolpment Academy,210003 |
| |
| Abstract: | new Hopfield-type neural network approach to adaptive beamforming is pres-ented.Because the link matrix of the elementry neurons is sometimes singular in practical application, a regularization method is introduced in this paper to efficiently increase the stability of solution and the speed of network.In addition,in order to simplify programming and avoid compu-tation of covariance,an improved network is introduced ,which need no computation and easy for realtime processing by the conventional analog cireuit. Simulation results show that it takes advan-tages in both convergence and tracking performances over the conventional techniques. |
| |
| Keywords: | Neural network Adaptive beamforming Regulazation Realtime |
| 本文献已被 CNKI 等数据库收录！ |
