Title :
Eigenfilter design of MIMO equalizers for channel shortening
Author :
Tkacenko, Andre ; Vaidyanathan, P.P.
Author_Institution :
Dept. of Electrical Engineering, California Institute of Technology, Pasadena, 91125, USA
Abstract :
The advent of discrete multitone modulation (DMT) systems in recent years has brought to light the importance of channel shortening equalizers. In this paper, we present a method for the design of one such equalizer for multiple-input multiple-output (MIMO) linear dispersive channels. This method is a generalization of one that was used for shortening of single-input single-output (SISO) channels. Experimental results presented show that our design method performs better than the minimum mean-squared error (MMSE) technique in terms of effective channel energy compaction. 1
Keywords :
Artificial intelligence; Digital signal processing; Equalizers; Noise; World Wide Web;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5745120