空间电子技术Issue(4)：42-47,6.DOI:10.3969/j.issn.1674-7135.2014.04.010
基于特征提取与统计的信号类型识别
Signal Recognition Based on Features Extraction and Statistics
张映南 1刘晓旭 1王战强1
作者信息
- 1. 中国空间技术研究院西安分院，西安 710000
- 折叠
摘要
Abstract
Based on features extraction and statistics, this paper proposes a method to solve the signal recognition prob-lem in the field of space electronic countermeasure. Firstly, the received signal is coarsely classified according to the fea-tures of its instantaneous frequency and complex envelope module. Then, the signal is precisely identified based on the indi-vidual unique feature comparing with 8 given candidates. Simulation results show that when the input SNR ( Signal-to-Noise-Ratio) is greater than 11 dB, the recognition probility of the proposed method is more than 90% for those 8 candidate signal types. The complexity of the method is relatively low and is easy to be implemented in engineering.关键词
空间电子对抗/信号类型识别/特征提取与统计Key words
Space electronic countermeasure/Signal recognition/Features extraction and statistics引用本文复制引用
张映南,刘晓旭,王战强..基于特征提取与统计的信号类型识别[J].空间电子技术,2014,(4):42-47,6.
