A blind lag-hopping adaptive channel shortening algorithm based upon squared auto-correlation minimization (LHSAM)
Recent analytical results due to Walsh, Martin and Johnson showed that optimizing the single lag autocorrelation minimization (SLAM) cost does not guarantee convergence to high signal to interference ratio (SIR), an important metric in channel shortening applications. We submit that we can overcome...
Saved in:
Main Authors: | , |
---|---|
Format: | Default Conference proceeding |
Published: |
2008
|
Subjects: | |
Online Access: | https://hdl.handle.net/2134/5540 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|