Title :
Optimum channel shortening for discrete multitone transceivers
Author :
Arslan, Güner ; Evans, Brian L. ; Kiaei, Sayfe
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
We propose an optimum channel shortening method for discrete multitone (DMT) transceivers. The proposed method shortens a given channel to a desired length while maximizing the number of bits transmitted on a DMT symbol. The key to the optimum solution is the definition of the SNR in a subchannel using the equivalent signal, noise, and ISI paths in the system. Our simulation results show that the proposed method outperforms the best existing method with a 18% increase in the bit rate. We show that the maximum shortening SNR method is a special case of the proposed method and both methods are nearly equivalent when the input energy distribution is constant over all subchannels
Keywords :
digital subscriber lines; equalisers; least mean squares methods; modulation; noise; optimisation; telecommunication channels; transceivers; ADSL; DMT symbol; DMT transceivers; ISI path; MMSE equalizer; SNR definition; asymmetric digital subscriber line; bit rate; carrier-serving-area loop; channel length; channel shortening equalizer; discrete multitone transceivers; input energy distribution; maximum shortening SNR method; minimum mean-squared error method; noise path; optimum channel shortening; optimum solution; signal path; simulation results; subchannel; Bit rate; DSL; Data communication; Digital modulation; Equalizers; Fast Fourier transforms; Interference; OFDM modulation; Signal to noise ratio; Transceivers;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861156