| 基于BP神经网络的罗兰-C的ASF修正 |
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| 引用本文： | 徐彬,施闻明,霍立平. 基于BP神经网络的罗兰-C的ASF修正[J]. 舰船电子工程, 2006, 26(2): 71-72 |
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| 作者姓名： | 徐彬 施闻明 霍立平 |
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| 作者单位： | 1. 海军潜艇学院,青岛,266071
2. 海军航空工程学院青岛分院,青岛,266041 |
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| 摘 要： | 将BP神经网络应用于罗兰-C导航系统的附加二次相位因子修正，以提高系统的导航精度。通过训练，找出舰船所在位置与ASF修正量之间的对应关系，从而利用该修正量对所测得的罗兰-C电波传播时差进行补偿，结果表明该方法有效，为罗兰-C的ASF修正提供了一种途径。
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| 关 键 词： | BP神经网络 罗兰-C ASF修正 Matlab |
| 收稿时间： | 2005-09-19 |
| 修稿时间： | 2005-10-21 |
ASF Correction of Loran- C Based on BP Neural Network |
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| Xu Bin,Shi Wenming,Huo Liping. ASF Correction of Loran- C Based on BP Neural Network[J]. Ship Electronic Engineering, 2006, 26(2): 71-72 |
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| Authors: | Xu Bin Shi Wenming Huo Liping |
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| Affiliation: | 1 Naval Submarine Academy, Qingdao 266071;2 Qingdao Branch of NAEA, 0ingdao 266041 |
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| Abstract: | The paper corrects the ASF error of loran-C by using BP neural network to improve the navigation accuracy.Through the training we can get the relationship between ASF correction and ship's location,and then it can compensate for the measured time-difference of loran-C wave.The result proves that this method is effective and provides a new way for ASF correction. |
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| Keywords: | BP neural network loran- C ASF correction Maflab |
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