A TDOA-FDOA Localization Method in Closed-form Based on Deviation Refining
- Resource Type
- Authors
- Fengrui Zhang; Jifeng Zou; Qun Wan; Yimao Sun; Mingbing Li
- Source
- WCSP
- Subject
- Noise measurement
020206 networking & telecommunications
020302 automobile design & engineering
02 engineering and technology
Multilateration
Upper and lower bounds
Frequency difference
symbols.namesake
0203 mechanical engineering
Gaussian noise
0202 electrical engineering, electronic engineering, information engineering
FDOA
symbols
Wireless sensor network
Algorithm
Mathematics
Refining (metallurgy)
- Language
This paper focuses on localizing a moving source with time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements in a wireless sensor network. An improved two-stage weighted least squares closed-form solution is proposed. The weighted spherical-interpolation method and deviation refining method are applied in the first and second stage respectively. It is analytically verified that the performance of proposed solution can attain the Cramer-Rao lower bound under mild Gaussian noise assumption. The proposed solution is shown to be effective and significantly decreases the bias of the estimate in terms of numerical simulations.