Dataset of Ruixin Fan
This is the dataset for the letter "NLOS Mitigation Using Residual-Weighted Least-Squares in Wireless Localization"
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.
- 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  Rwgh.m (2.13 kB)
- method for comparison: biased Kalman filter  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)