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Source localisation using TDOA and FDOA measurements under unknown noise power knowledge
- Source :
- IET Signal Processing. 14:435-439
- Publication Year :
- 2020
- Publisher :
- Institution of Engineering and Technology (IET), 2020.
-
Abstract
- In this study, the authors develop a new algorithm for passive source localisation using time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements. In this algorithm, the position and velocity of the target source are successively estimated by formulating two alone semidefinite programming problems, where the variances of the TDOA and FDOA measurement noises can be separated and neglected. Unlike the traditional methods, the authors’ approach does not require the prior knowledge of the TDOA/FDOA measurement noise power. Simulation results indicate that the proposed algorithm outperforms the existing methods under unknown noise power knowledge.
- Subjects :
- Semidefinite programming
Noise power
Computer science
Position (vector)
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
FDOA
020206 networking & telecommunications
020201 artificial intelligence & image processing
02 engineering and technology
Electrical and Electronic Engineering
Multilateration
Algorithm
Subjects
Details
- ISSN :
- 17519683 and 17519675
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- IET Signal Processing
- Accession number :
- edsair.doi...........8ec46bb709bda60d5ce8f3c41c94af49
- Full Text :
- https://doi.org/10.1049/iet-spr.2019.0406