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논문검색

Research on Localization Algorithm Based on Improved Bayesian Filtering Model

초록

영어

Due to the complexity of the algorithm own limitations and environmental parameters, makes for complex work in the process of localization is bigger, computational complexity, a larger error. In order to ensure the reliability and effectiveness of communication data, ensure that improve the localization accuracy, the proposed multi-channel data transmission mechanism, to realize the collection of real-time data information effectively. Based on the traditional localization algorithm principle and error source is analyzed, combined with Bayesian filtering probability model for RSSI localization algorithm was improved, the received signal strength indicator effectively restrain random fluctuations. Through to the node coordinates between areas corrections, make the final balance of signal strength. Experiments show that improved the reliability of the improved algorithm has higher localization accuracy, and shows the validity and the correctness of the algorithm.

목차

Abstract
 1. Introduction
 2. Formatting your Paper
 3. Problem Defining and Network Model
  3.1. Problem Description
  3.2. Relation of Distance District Mapping
  3.3. Relation of Distance District Mapping
  3.4. Improved Algorithm
 4. Estimation System
 5. Conclusion
 Acknowledgements
 References

저자정보

  • Zeyu Sun Department of Computer and Information Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, China, Electrical and information Engineering, Xi’an Jiao tong University Xi’an 710061, China
  • Xiaoguang Li Department of Electrical Engineering and Automation, Luoyang Institute of Science and Technology, Luoyang 471023, China

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