摘要
在电子情报领域,针对多功能雷达脉冲列解析中的基本波形提取问题,提出了一种新的基于统计变化点检测的方法.该方法利用相控阵天线波束离散扫描的特点,将基本波形提取问题转化成脉冲幅度序列变化点的检测问题.引入生物染色体分析中的循环二分算法来检测并估计幅度序列的多个变化点,进而得到基本波形的集合.该方法不需要任何先验知识,在较低信噪比的情况下仍然能够得到高精度的提取结果.仿真实验表明了该方法的有效性.
To deal with the problem of basic waveforms extraction in multifunction radar pulse train analysis,a new method is proposed based on statistic change point detection.Considering the discrete scan pattern of phased array antenna,the extraction of basic waveforms is converted into the detection of pulse amplitude change points.The circular binary segmentation algorithm which is used for biological chromosome analysis is introduced to split the pulse train into regions of equal amplitude,each of which corresponds to a certain basic waveform.The proposed method needs no prior knowledge,and can give a high performance even when the noise level is comparable with the change level of amplitude.Simulation results show that the method is applicable and effective.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2013年第7期1436-1441,共6页
Acta Electronica Sinica
关键词
多功能雷达
统计变化点
循环二分算法
电子战
multifunction radar
statistic change points
circular binary segmentation algorithm
electronic warfare