| 基于门控循环神经网络的海杂波幅度预测 |
| |
| 引用本文： | 马丽文,张金鹏,吴家骥,张玉石,赵鹏,夏晓云.基于门控循环神经网络的海杂波幅度预测[J].电波科学学报,2020,35(2):257-263. |
| |
| 作者姓名： | 马丽文 张金鹏 吴家骥 张玉石 赵鹏 夏晓云 |
| |
| 作者单位： | 1.中国电波传播研究所 电波环境特性及模化技术重点实验室, 青岛 266107 |
| |
| 基金项目： | 国家自然科学基金青年科学基金(61801446);预研领域基金(FY1502802001)。 |
| |
| 摘 要： | 海杂波是雷达在海洋表面采集到的海面电磁散射回波.受海洋环境要素（风速、风向、浪高、浪向等）和雷达参数的影响，其幅度随时间具有随机起伏性，海杂波的幅度预测精度的提高有助于增加目标检测准确度.本文结合海杂波非高斯非线性的特点，提出了基于门控循环神经网络的海杂波幅度预测方法.通过对IPIX雷达和P波段雷达海杂波实测数据的预测分析，结果表明，本文方法相对已有传统方法具有更高的预测精度.
|
| 关 键 词： | IPIX雷达 P波段雷达 海杂波 门控循环神经网络 非线性预测 |
| 收稿时间： | 2018-09-03 |
Prediction of sea clutter using gated feedback recurrent neural network |
| |
| MA Liwen,ZHANG Jinpeng,WU Jiaji,ZHANG Yushi,ZHAO Peng,XIA Xiaoyun.Prediction of sea clutter using gated feedback recurrent neural network[J].Chinese Journal of Radio Science,2020,35(2):257-263. |
| |
| Authors: | MA Liwen ZHANG Jinpeng WU Jiaji ZHANG Yushi ZHAO Peng XIA Xiaoyun |
| |
| Affiliation: | 1.National Key Laboratory of Electromagnetic Environment, China Research Institute of Radiowave Propagation, Qingdao 266107, China2.Xidian University, Xi'an 710071, China |
| |
| Abstract: | Sea clutter is the sea surface electromagnetic scattering echo collected by the radar on the ocean surface.Affected by marine environmental factors(wind speed,wind direction,wave height,wave direction,etc.)and radar parameters,its amplitude has fluctuations with time and the accuracy of sea clutter amplitude prediction helps to increase target detection accuracy.Combined with the non-Gaussian and nonlinearity characteristics of sea clutter,the sea clutter amplitude prediction method based on gated feedback recurrent neural network is proposed.Through the prediction analysis of the sea clutter data,the results show that the proposed method has higher prediction accuracy than the traditional prediction methods. |
| |
| Keywords: | IPIX radar P-band radar sea clutter gated feedback recurrent neural network nonlinear prediction |
| 本文献已被 维普 等数据库收录！ |
| 点击此处可从《电波科学学报》浏览原始摘要信息 |
|
点击此处可从《电波科学学报》下载全文 |
|
