摘要
雷达信号识别是雷达侦察与对抗中的重要内容,也是其难点,现有的识别方法都不能取得让人非常满意的识别效果。AdaBoost即自适应Boosting算法,它可以提高任意给定分类器的分类精度。本文用AdaBoost提升神经网络并应用于雷达信号识别,并与几种现有的识别方法作了比较。实验结果表明,其识别准确率比文中所列的所有方法都要高。
The recognition of radar signal is important and difficult in the radar reconnaissance and countermeasure. The existing recognition methods cannot acquire excellent performance. AdaBoost, that is adaptive boosting algorithm, may improve the performance of any given classifier. In this paper we use AdaBoost to improve the performance of artificial neural network for radar signal recognition, and compare it with other methods. The result suggests that AdaBoost-NN reaches the higher recognition rate.
基金
安徽省优秀青年科技基金(2002-2003)
