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科技导报
| 研究论文 2019, 37(19): 74-79
基于DPSS的高噪声条件下混合LFM波形提取方法设计
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侯长满, 余彪, 陈远航
作者信息
Multiple linear frequency modulation signal extraction in highly noisy environment using discrete prolate spheroidal sequence
HOU Changman, YU Biao, CHEN Yuanhang
Affiliations
出版时间: 2019-10-13
doi: 10.3981/j.issn.1000-7857.2019.19.010
文章导航
随着电磁对抗与反对抗技术的不断发展,低截获概率信号应用越来越广泛。传统的信号提取方法对低截获信号波形的提取已经无法满足用户使用需求。基于椭球基序列(discrete prolate spheroidal sequence,DPSS)构建时间窗函数对混合线性调频信号(multiple linear frequency modulation)进行分析,提出了恒门限判定概率捕获信号方法,并采用自适应二值化以及改进的霍夫变换(Hough transform)等图形处理算法完成信号波形的提取。仿真表明,本方法比短时傅里叶变换算法(short-time Fourier transform)具有更为优秀的噪声控制,同时在低信噪比下仍能准确提取波形。
椭球基序列
/
霍夫变换
/
混合线性调频信号
/
短时傅里叶变换
With the continuous development of countermeasure and anti-countermeasure technology as well as the increasing application of low intercept signals, traditional signal extraction methods are no longer to satisfy user's needs for extraction of low intercept signal waveforms. In this paper, based on the discrete prolate spheroidal sequence (DPSS), the time-window function is used to analyze multiple linear frequency modulation signals. A method employing horizontal threshold decision probability to capture signal is proposed, and extraction of signal waveform is completed by adaptive binarization and improved Hough transform (HT). Simulation shows that the proposed method is better than the short-time Fourier transform algorithm in terms of noise control and can accurately extract the waveform at low SNR.
discrete prolate spheroidal sequence
/
Hough transform
/
multiple linear frequency modulation
/
short-time Fourier transform
侯长满, 余彪, 陈远航.
基于DPSS的高噪声条件下混合LFM波形提取方法设计.
科技导报,
2019
, 37
(19)
: 74
-79
.
DOI: 10.3981/j.issn.1000-7857.2019.19.010
HOU Changman, YU Biao, CHEN Yuanhang.
Multiple linear frequency modulation signal extraction in highly noisy environment using discrete prolate spheroidal sequence[J].
Science & Technology Review ,
2019
, 37
(19)
: 74
-79
.
DOI: 10.3981/j.issn.1000-7857.2019.19.010
2019年第37卷第19期
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文章信息
doi: 10.3981/j.issn.1000-7857.2019.19.010
接收时间:2019-03-01
首发时间:2019-10-19
出版时间:2019-10-13
收稿日期:2019-03-01
修回日期:2019-07-22
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2019.19.010
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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