TDOA and FDOA Hybrid Positioning of Mobile Radiation Source with Receiver Position Errors

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Publicado en:Wireless Personal Communications vol. 137, no. 1 (Jul 2024), p. 199
Autor principal: Zhang, Yue
Otros Autores: He, Fen, Zhang, Honglei, Yang, Hongliang, Du, Zhengfeng, Xiao, Zhu
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Springer Nature B.V.
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024 7 |a 10.1007/s11277-024-11387-7  |2 doi 
035 |a 3256865167 
045 2 |b d20240701  |b d20240731 
100 1 |a Zhang, Yue  |u Shandong University, School of Information Science and Engineering, Qingdao, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174); Shenzhen Research Institute of Shandong University, Shenzhen, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174) 
245 1 |a TDOA and FDOA Hybrid Positioning of Mobile Radiation Source with Receiver Position Errors 
260 |b Springer Nature B.V.  |c Jul 2024 
513 |a Journal Article 
520 3 |a High-precision position awareness is essential to ubiquitous wireless networks, which can provide real-time position information and abundant status information for numerous practical applications. However, It is a challenge to obtain accurate position estimation utilizing traditional onefold parameter estimation, especially for the accurate position estimation of moving radiation source in the presence of receiver position errors. In this work, we developed an Improved Taylor Series estimation method in three-dimensional positioning scene, in which time difference of arrival (TDOA) and frequency difference of arrival (FDOA) are used to estimate the position and velocity of the target, and the position of the receiver is iteratively updated to reduce the influence of the receiver position errors. The closed-form expressions of Cramer–Rao low bound (CRLB) based on joint TDOA and FDOA positioning with receiver position errors are derived. In the simulation, CRLB with and without receiver position errors are evaluated to illustrate the influence of the receiver position errors on the positioning performance. Theory analysis and simulation results show that the proposed algorithm has lower complexity, smaller RMSE and better positioning performance than multidimensional scaling (W-MDS) algorithm, constrained total least squares algorithm and two-step weighted least squares algorithm for both near-field and far-field emitters. 
653 |a Wireless networks 
653 |a Simulation 
653 |a Velocity 
653 |a Accuracy 
653 |a Parameter estimation 
653 |a Lagrange multiplier 
653 |a Sensors 
653 |a Radiation sources 
653 |a Unmanned aerial vehicles 
653 |a Algorithms 
653 |a Taylor series 
653 |a Localization 
653 |a Real time 
653 |a Energy consumption 
653 |a Least squares 
653 |a Radiation 
653 |a Far fields 
653 |a Emitters 
653 |a Position errors 
700 1 |a He, Fen  |u Shandong University, School of Information Science and Engineering, Qingdao, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174); Shenzhen Research Institute of Shandong University, Shenzhen, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174) 
700 1 |a Zhang, Honglei  |u Shandong University, School of Information Science and Engineering, Qingdao, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174) 
700 1 |a Yang, Hongliang  |u Shandong University, School of Information Science and Engineering, Qingdao, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174) 
700 1 |a Du, Zhengfeng  |u Shandong University, School of Information Science and Engineering, Qingdao, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174) 
700 1 |a Xiao, Zhu  |u Hunan University, College of Computer Science and Electronic Engineering, Changsha, China (GRID:grid.67293.39) 
773 0 |t Wireless Personal Communications  |g vol. 137, no. 1 (Jul 2024), p. 199 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3256865167/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3256865167/fulltext/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3256865167/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch