摘要
对雷达信号全脉冲数据的有效预分选关键在于获取全脉冲数据的有效特征参数。提出了用独立分量分析(ICA)算法对雷达信号高维全脉冲数据提取特征参数,通过利用分类器、聚类比较不同的特征提取方法的性能,仿真结果验证了ICA算法的有效性。
The key to achieving effective classification of complete pulse data for radar signals is dependent on the acquisition of the effective feature parameters of the complete pulse data. The use of ICA algorithm to obtain the feature parameters of multitude dimension complete pulse data for radar signals is proposed in this paper. Through classification and related comparison of different feature extraction methods, it is concluded through simulation that the ICA algorithm is effective.
出处
《中国电子科学研究院学报》
2009年第3期287-290,共4页
Journal of China Academy of Electronics and Information Technology
