高频地波雷达海杂波神经网络选择集成预测

Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (12): 2801-2805.

高频地波雷达海杂波神经网络选择集成预测

王泉德, 文必洋

武汉大学电子信息学院，湖北武汉 430079

出版日期:2009-12-24 发布日期:2010-01-03

High frequency ground wave radar sea clutter predicting based on artifical neural network selection and ensembling

WANG Quan-de, WEN Bi-yang

School of Electronic Information, Wuhan Univ., Wuhan 430079, China

Online:2009-12-24 Published:2010-01-03

摘要/Abstract

摘要：

针对高频地波雷达海杂波的混沌特性，提出了一种新的海杂波神经网络集成预测方法。该方法在重构的相空间中估计所有神经网络在预测样本邻域内的预测性能和错误关联，进行神经网络的自适应选择和动态集成，实现海杂波的神经网络集成预测。在OSMAR2000高频地波雷达系统海洋目标实测数据上的测试结果表明,该方法具有较高的海杂波预测精度。

Abstract:

Because sea clutter in high frequency ground wave radar (HFGWR) echoes is chaotic, a new neural network ensembling method for sea clutter predicting is presented. In phase reconstructed space, the predicting performance and error correlation of all artificial neural networks in the neighborhood of the current sea clutter sample are evaluated so as to adaptively choose and dynamically integrate the gualified part among them for sea clutter predicting. The testing result on the objects detecting echo data of the OSMAR2000 HFGWR system shows the predicting precision of the proposed method is higher than the nonensembling prediction method, so it can be used to improve the objects detecting performance of HFGWR.

王泉德, 文必洋. 高频地波雷达海杂波神经网络选择集成预测[J]. Journal of Systems Engineering and Electronics, 2009, 31(12): 2801-2805.

WANG Quan-de, WEN Bi-yang. High frequency ground wave radar sea clutter predicting based on artifical neural network selection and ensembling[J]. Journal of Systems Engineering and Electronics, 2009, 31(12): 2801-2805.