Robust and Fast Magnetic Dipole Localization With Singular Value Truncated SDM
The supervised descent method (SDM) avoids computing inverse of the Hessian matrix and is a potential tool to rapidly solve the nonlinear least squares problem of magnetic dipole localization. However, the magnetic measurements are often noisy, which will cause an error during the update of SDM. To...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8759868/ |