| 静电探测器信号采集与目标特性预测方法研究 |
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| 引用本文： | 刘实,闫岩,徐立新. 静电探测器信号采集与目标特性预测方法研究[J]. 探测与控制学报, 2007, 29(2): 20-22,26 |
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| 作者姓名： | 刘实 闫岩 徐立新 |
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| 作者单位： | 1. 北京理工大学电子工程系,北京,100081
2. 北京理工大学机电工程学院,北京,100081 |
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| 摘 要： | 静电目标特性是静电探测和目标识别的基础。构建了一个基于USB数据采集卡的静电探测器数据采集系统，给出了低通滤波器算法的基本原理和设计实现过程。为满足高速弹目交会条件下对信号处理速度的要求，采用线性神经网络和非线性Elman神经网络设计了目标特性预测器，仿真结果表明：非线性Elman神经网络预测器能够有效给出目标特性预测结果，提高了静电探测系统实时性。
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| 关 键 词： | 静电探测器 滤波器 神经网络预测 |
| 文章编号： | 1008-1194（2007）02-0020-03 |
| 收稿时间： | 2006-11-02 |
| 修稿时间： | 2006-11-02 |
Signal Processing and Target Characteristics Prediction Method for the Electrostatic Sensor |
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| LIU Shi,YAN Yan,XU Li-xin. Signal Processing and Target Characteristics Prediction Method for the Electrostatic Sensor[J]. Journal of Detection & Control, 2007, 29(2): 20-22,26 |
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| Authors: | LIU Shi YAN Yan XU Li-xin |
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| Affiliation: | 1. Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China; 2. school of Meehatronie,Beijing Institute of Teehnology,Beijing 100081 ,China |
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| Abstract: | A data collecting and processing system is proposed in this paper for electrostatic target detection. A low-pass filter is designed to overcome the influence of noise The neural networks are applied to the prediction filter for the system. Simulation results show that the Elman neural network can approximate the expected signal more correctly after weight training, thus the prediction filter providing an effective way to ensure the realtime work of the electrostatic target detection system. |
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| Keywords: | Elman |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
