Research on real-time fusion method of multi-source heterogeneous flight trajectory data stream
Secondary surveillance radar (SSR) and automatic dependent surveillance-broadcast (ADS-B) are the two main surveillance methods coexisting in the airspace surveillance system.In order to improve the accuracy and stability of surveillance,real-time fusion of SSR and ADS-B trajectory is crucial.In vie...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2020-09-01
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| Series: | 物联网学报 |
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| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00181/ |
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| _version_ | 1841531183656075264 |
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| author | Zhuxi ZHANG Wang TIAN Shaochuan ZHU Hongyan LIU Xi ZHU |
| author_facet | Zhuxi ZHANG Wang TIAN Shaochuan ZHU Hongyan LIU Xi ZHU |
| author_sort | Zhuxi ZHANG |
| collection | DOAJ |
| description | Secondary surveillance radar (SSR) and automatic dependent surveillance-broadcast (ADS-B) are the two main surveillance methods coexisting in the airspace surveillance system.In order to improve the accuracy and stability of surveillance,real-time fusion of SSR and ADS-B trajectory is crucial.In view of the fact that the existing methods are difficult to meet the real-time fusion requirements of large-scale trajectories,a real-time fusion method of SSR and ADS-B data streams was designed with big data technology.This method was based on the big data processing framework of micro-batch processing and followed the MapReduce programming model.While obtaining a fusion trajectory of high quality,it ensured high concurrency and real-time data processing capability of the system.Finally,a real-time flight simulation experiment based on real flight data was carried out to verify the feasibility of the method. |
| format | Article |
| id | doaj-art-92cfdb4fb43f4e9b9195730525bd0efb |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2020-09-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-92cfdb4fb43f4e9b9195730525bd0efb2025-01-15T02:52:56ZzhoChina InfoCom Media Group物联网学报2096-37502020-09-014606859646063Research on real-time fusion method of multi-source heterogeneous flight trajectory data streamZhuxi ZHANGWang TIANShaochuan ZHUHongyan LIUXi ZHUSecondary surveillance radar (SSR) and automatic dependent surveillance-broadcast (ADS-B) are the two main surveillance methods coexisting in the airspace surveillance system.In order to improve the accuracy and stability of surveillance,real-time fusion of SSR and ADS-B trajectory is crucial.In view of the fact that the existing methods are difficult to meet the real-time fusion requirements of large-scale trajectories,a real-time fusion method of SSR and ADS-B data streams was designed with big data technology.This method was based on the big data processing framework of micro-batch processing and followed the MapReduce programming model.While obtaining a fusion trajectory of high quality,it ensured high concurrency and real-time data processing capability of the system.Finally,a real-time flight simulation experiment based on real flight data was carried out to verify the feasibility of the method.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00181/trajectory fusionmulti-source heterogeneousmicro-batch processingMapReducestreaming big data |
| spellingShingle | Zhuxi ZHANG Wang TIAN Shaochuan ZHU Hongyan LIU Xi ZHU Research on real-time fusion method of multi-source heterogeneous flight trajectory data stream 物联网学报 trajectory fusion multi-source heterogeneous micro-batch processing MapReduce streaming big data |
| title | Research on real-time fusion method of multi-source heterogeneous flight trajectory data stream |
| title_full | Research on real-time fusion method of multi-source heterogeneous flight trajectory data stream |
| title_fullStr | Research on real-time fusion method of multi-source heterogeneous flight trajectory data stream |
| title_full_unstemmed | Research on real-time fusion method of multi-source heterogeneous flight trajectory data stream |
| title_short | Research on real-time fusion method of multi-source heterogeneous flight trajectory data stream |
| title_sort | research on real time fusion method of multi source heterogeneous flight trajectory data stream |
| topic | trajectory fusion multi-source heterogeneous micro-batch processing MapReduce streaming big data |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00181/ |
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