Conversion model of annual statistics to worst-month statistics of troposcatter
The present worst-month prediction model,however,cannot reflect the me ical characteristics of tro-poscatter propagation accurately.Hence,based on the worst-month prediction models introduced in the recommendation ITU-R P.617-3 and ITU-R P.841-4 respectively,a conversion model of annual statistics t...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016095/ |
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| author | Lei LI Zhen-wei ZHAO Zhen-sen WU Le-ke LIN Yuan LEI Rui ZHANG |
| author_facet | Lei LI Zhen-wei ZHAO Zhen-sen WU Le-ke LIN Yuan LEI Rui ZHANG |
| author_sort | Lei LI |
| collection | DOAJ |
| description | The present worst-month prediction model,however,cannot reflect the me ical characteristics of tro-poscatter propagation accurately.Hence,based on the worst-month prediction models introduced in the recommendation ITU-R P.617-3 and ITU-R P.841-4 respectively,a conversion model of annual statistics to worst-month statistics of tro-poscatter was presented.The corresponding relation between the conversion of annual statistics to worst-month statistics of troposcatter and the refractivity N<sub>s</sub>at the earth's surface was derived with the rational n erical calculation and opti-mization method.This model not only solves the disadvantages of the ITU models mentioned above,but also has a better practicability and applicability.Then,using the new model and the trans-horizon propagation loss data banks released by the international telecommunication union(ITU),the worst-month transmission loss for the non-exceedance time percen-tages(50%,90%,99%)of interest are calculated.The prediction results are compared with the recommendation ITU-R P.841 and the trans-horizon propagation loss data banks.The conclusions are helpful for the development and the applica-tion of the troposcatter propagation. |
| format | Article |
| id | doaj-art-f5d5c4ad22dd47138624dc41da301452 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-f5d5c4ad22dd47138624dc41da3014522025-01-14T06:55:23ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-05-0137818759700944Conversion model of annual statistics to worst-month statistics of troposcatterLei LIZhen-wei ZHAOZhen-sen WULe-ke LINYuan LEIRui ZHANGThe present worst-month prediction model,however,cannot reflect the me ical characteristics of tro-poscatter propagation accurately.Hence,based on the worst-month prediction models introduced in the recommendation ITU-R P.617-3 and ITU-R P.841-4 respectively,a conversion model of annual statistics to worst-month statistics of tro-poscatter was presented.The corresponding relation between the conversion of annual statistics to worst-month statistics of troposcatter and the refractivity N<sub>s</sub>at the earth's surface was derived with the rational n erical calculation and opti-mization method.This model not only solves the disadvantages of the ITU models mentioned above,but also has a better practicability and applicability.Then,using the new model and the trans-horizon propagation loss data banks released by the international telecommunication union(ITU),the worst-month transmission loss for the non-exceedance time percen-tages(50%,90%,99%)of interest are calculated.The prediction results are compared with the recommendation ITU-R P.841 and the trans-horizon propagation loss data banks.The conclusions are helpful for the development and the applica-tion of the troposcatter propagation.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016095/troposcatterworst-monthconversion modeltransmission losstime percentage |
| spellingShingle | Lei LI Zhen-wei ZHAO Zhen-sen WU Le-ke LIN Yuan LEI Rui ZHANG Conversion model of annual statistics to worst-month statistics of troposcatter Tongxin xuebao troposcatter worst-month conversion model transmission loss time percentage |
| title | Conversion model of annual statistics to worst-month statistics of troposcatter |
| title_full | Conversion model of annual statistics to worst-month statistics of troposcatter |
| title_fullStr | Conversion model of annual statistics to worst-month statistics of troposcatter |
| title_full_unstemmed | Conversion model of annual statistics to worst-month statistics of troposcatter |
| title_short | Conversion model of annual statistics to worst-month statistics of troposcatter |
| title_sort | conversion model of annual statistics to worst month statistics of troposcatter |
| topic | troposcatter worst-month conversion model transmission loss time percentage |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016095/ |
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