dxmsjtu / blind_and_nonparametric_estimators

MATLAB code for the paper "Low-Complexity Blind Parameter Estimation in Wireless Systems with Noisy Sparse Signals"

MATLAB code for "Low-Complexity Blind Parameter Estimation in Wireless Systems with Noisy Sparse Signals"

If you are using the simulator (or parts of it) for a publication, then you must clearly mention it and cite our paper:

A. Gallyas-Sanhueza and C. Studer, "Low-Complexity Blind Parameter Estimation in Wireless Systems with Noisy Sparse Signals," in IEEE Transactions on Wireless Communications, doi: 10.1109/TWC.2023.3247887.

Running simulations

• To generate figures 1, 2, 4, and 5 of the paper, simply run figures_1_2_4_and_5.m

  • Be patient, as the simulation takes long. (To check that the code will run properly, we advise to run fewer trials first, by setting trials = 10 in line 11. This takes about 1 minute on a 1.8 GHz Dual-Core Intel Core i5. With 10000 trials it takes hours)

• To generate figure 3 of the paper, simply run figure_3.m

• Code for figures 6, 7 and 8 comming soon...

Third-party software

• To compute the median with the quickselect algorithm, we use a modified version of the qselect function from https://www.mathworks.com/matlabcentral/fileexchange/68947-qselect. We include the licence for that function inside the qselect folder.

• To generate our plots, we use the shadedErrorBar function from https://www.mathworks.com/matlabcentral/fileexchange/26311-raacampbell-shadederrorbar. We include the licence for that function inside the shadedErrorBar-master folder.

Version history

Version 1: [email protected] - initial version for GitHub release