Depth Mining of the Relationship among the Factors in Infrared Countermeasures
In order to analyze the relationship among various factors in infrared countermeasures and their relationship with missile miss distance, association rules are mined based on FP-Growth algorithm. In the process of infrared countermeasure mining, K-means clustering algorithm is used to discretize the...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Aero Weaponry
2022-06-01
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| Series: | Hangkong bingqi |
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| Online Access: | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/1658972600954-721166483.pdf |
| _version_ | 1811320301844168704 |
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| author | Chen Bian, Wu Youli, Wu Xin, Gan Yuepeng |
| author_facet | Chen Bian, Wu Youli, Wu Xin, Gan Yuepeng |
| author_sort | Chen Bian, Wu Youli, Wu Xin, Gan Yuepeng |
| collection | DOAJ |
| description | In order to analyze the relationship among various factors in infrared countermeasures and their relationship with missile miss distance, association rules are mined based on FP-Growth algorithm. In the process of infrared countermeasure mining, K-means clustering algorithm is used to discretize the continuous factors such as docey throwing time, missile entry angle and initial distance of missile and target. Then, Kulc and IR indexes are used to deeply screen the obtained association rules. Two screening indexes filter out 69 ineffective association rules, and the final rules are obtained. The results show that the association rule mining method is effective and feasible in the research of infrared anti-jamming evaluation, and can provide research ideas for the analysis of infrared countermeasure problems. |
| first_indexed | 2024-04-13T12:57:25Z |
| format | Article |
| id | doaj.art-2541ddd90da1411f9e3fd3d91328e886 |
| institution | Directory Open Access Journal |
| issn | 1673-5048 |
| language | zho |
| last_indexed | 2024-04-13T12:57:25Z |
| publishDate | 2022-06-01 |
| publisher | Editorial Office of Aero Weaponry |
| record_format | Article |
| series | Hangkong bingqi |
| spelling | doaj.art-2541ddd90da1411f9e3fd3d91328e8862022-12-22T02:46:00ZzhoEditorial Office of Aero WeaponryHangkong bingqi1673-50482022-06-01293424610.12132/ISSN.1673-5048.2021.0119Depth Mining of the Relationship among the Factors in Infrared CountermeasuresChen Bian, Wu Youli, Wu Xin, Gan Yuepeng0Air Force Engineering University, Xi’an 710038, ChinaIn order to analyze the relationship among various factors in infrared countermeasures and their relationship with missile miss distance, association rules are mined based on FP-Growth algorithm. In the process of infrared countermeasure mining, K-means clustering algorithm is used to discretize the continuous factors such as docey throwing time, missile entry angle and initial distance of missile and target. Then, Kulc and IR indexes are used to deeply screen the obtained association rules. Two screening indexes filter out 69 ineffective association rules, and the final rules are obtained. The results show that the association rule mining method is effective and feasible in the research of infrared anti-jamming evaluation, and can provide research ideas for the analysis of infrared countermeasure problems.https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/1658972600954-721166483.pdf|infrared countermeasures|clustering discretization|association rule|kulc index|ir index|decoy|target|missile |
| spellingShingle | Chen Bian, Wu Youli, Wu Xin, Gan Yuepeng Depth Mining of the Relationship among the Factors in Infrared Countermeasures Hangkong bingqi |infrared countermeasures|clustering discretization|association rule|kulc index|ir index|decoy|target|missile |
| title | Depth Mining of the Relationship among the Factors in Infrared Countermeasures |
| title_full | Depth Mining of the Relationship among the Factors in Infrared Countermeasures |
| title_fullStr | Depth Mining of the Relationship among the Factors in Infrared Countermeasures |
| title_full_unstemmed | Depth Mining of the Relationship among the Factors in Infrared Countermeasures |
| title_short | Depth Mining of the Relationship among the Factors in Infrared Countermeasures |
| title_sort | depth mining of the relationship among the factors in infrared countermeasures |
| topic | |infrared countermeasures|clustering discretization|association rule|kulc index|ir index|decoy|target|missile |
| url | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/1658972600954-721166483.pdf |
| work_keys_str_mv | AT chenbianwuyouliwuxinganyuepeng depthminingoftherelationshipamongthefactorsininfraredcountermeasures |