 ICACT20210231 Slide.01
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Hello Everybody, My name is Moses C. Okonkwo. For ICACT 2021, This reseach work was made possible by the fruitful contribution of Huijie Zhu[STCISC Lab, Zhejiang China], Wei XU [CTRIBIS, Changsha, Hunan, China], Yalou SANG [People'sLiberation Army of China Fujian, China], Zhiqiang YAO, Limei Liu and myself [SAEI, Xiangtan University, China].
Our presentation today is on Mobile Communication Signal Selection Algorithm for Signal of Opportunity Navigation. |
| ICACT20210231 Slide.02
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Signals of opportunity(SOPs) refers to radio frequency (RF) signals commonly stored in the environment which mainly include Mobile Communication signals, WIFI, Digital Television Broadcast, AM / FM,and Low Earth Orbit satellite (LEO) signals. Though not designed for navigation, these signals can be freely utilized for positioning purpose. Among popular SOPs mentioned above, mobile communication signal gets the most attention due to its opportunistic signal navigation characteristics. |
| ICACT20210231 Slide.03
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in the signal selection problem in navigation and positioning
are mainly divided into two research areas: Signal evaluation
index/indicator and Selection algorithm. Signal evaluation
index involve the standards used to determine and evaluate
signals i.e selection principles, while the selection algorithm
determines the signal sources to be used in positioning. An
appropriate algorithm not only solves for the optimal signal
source combination, but also is required to have a minimum
time and space complexity. |
| ICACT20210231 Slide.04
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Related work & Our contribution |
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There are two parts in this paper
Part1:Access to opportunity signal selection information and evaluation index modeling
Part2:The algorithm of opportunistic signal selection based on comprehensive evaluation is designed |
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Describe the opportunistic signal selection problem and Opportunistic signal navigation and positioning receiving platform
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Acquisition of opportunistic signal selection and location information |
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Modeling and analysis of opportunity signal evaluation index ,Received signal frequency and Received signal strength
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Modeling and analysis of opportunity signal evaluation index ,NLOS effect and Geometric location distribution
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Part2:The algorithm of opportunistic signal selection based on comprehensive evaluation is designed.Design of comprehensive evaluation algorithm for opportunistic signals
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Part2:The algorithm of opportunistic signal selection based on comprehensive evaluation is designed.Design of comprehensive evaluation algorithm for opportunistic signals |
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Performance evaluation index of opportunistic signal selection algorithm |
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The software radio receiving platform is built to test and verify
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Measured environment and description
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The influence factors considered by the comprehensive selection algorithm are closer to the actual environment, and the performance is better than that of the suboptimal selection and clustering selection. In order to alleviate the multipath interference, OFDM symbols are designed for LTE signals. In the actual environment, the positioning and selection performance of LTE is better than that of GSM.
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Performance demonstration of GSM signal selection algorithm in complex environment
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Performance demonstration of LTE signal selection algorithm in complex environment
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Innovation
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Prospect
1)Signal switching problem when receiver moves
2)Improvement of evaluation index model of opportunity signal
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references |
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Thanks for your attention! Now! Floor is open for QnA. Welcome any comment or question. |
