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Dataset of Ruixin Fan
- Citation Author(s):
- Submitted by:
- Ruixin Fan
- Last updated:
- Sat, 02/12/2022 - 00:58
- DOI:
- 10.21227/w3j6-br54
- License:
105 Views- Categories:
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Abstract
This is the dataset for the letter "NLOS Mitigation Using Residual-Weighted Least-Squares in Wireless Localization"
Instructions:
Please download all the dataset files and scripts into the same directory.
Run "simulation.m" to get the simulation results. You can comment/uncomment line 4~6 to choose a simulation case.
Run "experiment.m" to get the experiment results. You can comment/uncomment line 11~12 to choose a experiment line.
Dataset Files
- ranging data for Line 1 in experiments line1.mat (4.50 kB)
- ranging data for Line 2 in experiments line2.mat (6.89 kB)
- the proposed method: RWLS res_kalman.m (1.12 kB)
- method for comparison: RCC-Rwgh [7] Rwgh.m (2.13 kB)
- method for comparison: biased Kalman filter [5] window_biased_kalman.m (2.60 kB)
- 2-dimension Kalman filter for position filtering, used by RWLS kalmanFilter.m (1.50 kB)
- 1-dimension Kalman filter for range filtering, used by biased Kalman filter kalmanFilter1.m (1.42 kB)
- method as benchmark: unweighted LS cal_pos.m (1.16 kB)
- weighting function (*), used by RWLS cal_weight.m (412 bytes)
- test the performance of algoritms by simulations simulation.m (4.19 kB)
- test the performance of algoritms by experiments experiment.m (2.75 kB)
Documentation
| Attachment | Size |
|---|---|
 README.txt | 457 bytes |
