Multi frequency hopping network station sorting based on joint feature clustering in complex environment
In order to remove interference from hybrid signals and sort each frequency hopping station signal, a multi frequency hopping network station sorting algorithm based on joint feature clustering was proposed.Firstly, short-time Fourier transform was applied to the sorted hybrid signals to obtain the...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2023-09-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023164/ |
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| _version_ | 1841539218697879552 |
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| author | Zhengyu ZHU Jiazheng WANG Jing LIANG Zhongyong WANG Kexian GONG |
| author_facet | Zhengyu ZHU Jiazheng WANG Jing LIANG Zhongyong WANG Kexian GONG |
| author_sort | Zhengyu ZHU |
| collection | DOAJ |
| description | In order to remove interference from hybrid signals and sort each frequency hopping station signal, a multi frequency hopping network station sorting algorithm based on joint feature clustering was proposed.Firstly, short-time Fourier transform was applied to the sorted hybrid signals to obtain the time-frequency matrix, and adaptive threshold denoising was carried out according to the energy distribution histogram of time-frequency matrix.Secondly, the sweep interference was removed by morphological filtering.Thirdly, the connected domain was labeled, the duration and average energy of each signal were calculated to remove the fixed frequency interference, and the joint feature vector for each frequency hop was formed.Finally, the MeanShift algorithm was used to cluster and analyze the joint feature vectors of each segment of the signal, completing the sorting of each frequency hopping signal.The simulation results show that the proposed algorithm has higher sorting rate, stronger anti-interference ability and wider applicability to hybrid signals compared with the traditional algorithm. |
| format | Article |
| id | doaj-art-9ca78e39777d404488a085f8743af827 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2023-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-9ca78e39777d404488a085f8743af8272025-01-14T07:23:36ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-09-014421822759836240Multi frequency hopping network station sorting based on joint feature clustering in complex environmentZhengyu ZHUJiazheng WANGJing LIANGZhongyong WANGKexian GONGIn order to remove interference from hybrid signals and sort each frequency hopping station signal, a multi frequency hopping network station sorting algorithm based on joint feature clustering was proposed.Firstly, short-time Fourier transform was applied to the sorted hybrid signals to obtain the time-frequency matrix, and adaptive threshold denoising was carried out according to the energy distribution histogram of time-frequency matrix.Secondly, the sweep interference was removed by morphological filtering.Thirdly, the connected domain was labeled, the duration and average energy of each signal were calculated to remove the fixed frequency interference, and the joint feature vector for each frequency hop was formed.Finally, the MeanShift algorithm was used to cluster and analyze the joint feature vectors of each segment of the signal, completing the sorting of each frequency hopping signal.The simulation results show that the proposed algorithm has higher sorting rate, stronger anti-interference ability and wider applicability to hybrid signals compared with the traditional algorithm.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023164/frequency hopping signalnetwork station sortingMeanShifttime-frequency analysisconnected domain labeling |
| spellingShingle | Zhengyu ZHU Jiazheng WANG Jing LIANG Zhongyong WANG Kexian GONG Multi frequency hopping network station sorting based on joint feature clustering in complex environment Tongxin xuebao frequency hopping signal network station sorting MeanShift time-frequency analysis connected domain labeling |
| title | Multi frequency hopping network station sorting based on joint feature clustering in complex environment |
| title_full | Multi frequency hopping network station sorting based on joint feature clustering in complex environment |
| title_fullStr | Multi frequency hopping network station sorting based on joint feature clustering in complex environment |
| title_full_unstemmed | Multi frequency hopping network station sorting based on joint feature clustering in complex environment |
| title_short | Multi frequency hopping network station sorting based on joint feature clustering in complex environment |
| title_sort | multi frequency hopping network station sorting based on joint feature clustering in complex environment |
| topic | frequency hopping signal network station sorting MeanShift time-frequency analysis connected domain labeling |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023164/ |
| work_keys_str_mv | AT zhengyuzhu multifrequencyhoppingnetworkstationsortingbasedonjointfeatureclusteringincomplexenvironment AT jiazhengwang multifrequencyhoppingnetworkstationsortingbasedonjointfeatureclusteringincomplexenvironment AT jingliang multifrequencyhoppingnetworkstationsortingbasedonjointfeatureclusteringincomplexenvironment AT zhongyongwang multifrequencyhoppingnetworkstationsortingbasedonjointfeatureclusteringincomplexenvironment AT kexiangong multifrequencyhoppingnetworkstationsortingbasedonjointfeatureclusteringincomplexenvironment |