Adaptive partial update channel shortening in impulsive noise environments
conference contributionposted on 09.12.2009 by Mahmud Grira, Jonathon Chambers
Any type of content contributed to an academic conference, such as papers, presentations, lectures or proceedings.
Partial updating is an effective method for reducing computational complexity in adaptive filter implementations. In this paper adaptive partial update channel shortening algorithms in impulsive noise environments are proposed. These algorithms are based on updating a portion of the coefficients at each time sample instead of the entire set of coefficients. These algorithms have low computational complexity whilst retaining essentially identical performance to the sum-absolute autocorrelation minimization (SAAM) algorithm due to Nawaz and chambers. Simulation studies show the ability of the deterministic partial update SAAM (DPUSAAM) algorithm and the Random Partial Update SAAM (RPUSAAM)algorithm to achieve channel shortening and hence an acceptable level of bitrate within a multicarrier system.
- Mechanical, Electrical and Manufacturing Engineering