Blind Channel estimation for MIMO systems using Linear Space time codes

Perform channel estimation for general STBC-MIMO systems using a subspace approach.
3.7K Downloads
Updated 12 Nov 2009

View License

The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files.

- space_time_coding.m (perform space time coding)
- subspace_channel_estimation_STBC.m (channel estimation)
- one_shot.m (show an example)

To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window.

Reference:

[1] Ammar, N.; Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217

Cite As

Choqueuse Vincent (2024). Blind Channel estimation for MIMO systems using Linear Space time codes (https://www.mathworks.com/matlabcentral/fileexchange/25817-blind-channel-estimation-for-mimo-systems-using-linear-space-time-codes), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R14
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Link-Level Simulation in Help Center and MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes
1.0.0.0