Title :
Optimum finite-length LTI transmit filters for ISI-channels
Author :
Al-Dhahir, Naofal
Author_Institution :
R&D Center, GE Corp., Niskayun, NY, USA
Abstract :
Optimum FIR transmit filters for symbol-by-symbol transmission on-linear dispersive additive-Gaussian-noise channels are derived by maximizing the channel throughput, subject to a fixed average input energy constraint. This maximized throughput is compared with that achievable with water-pour and flat transmit filters. The effect of transmit filter optimization on the receiver performance is investigated by considering the popular MMSE-DFE structure
Keywords :
FIR filters; Gaussian channels; Gaussian noise; circuit optimisation; decision feedback equalisers; filtering theory; intersymbol interference; least mean squares methods; receivers; transmitters; ISI-channels; MMSE-DFE structure; average input energy constraint; channel throughput; flat transmit filter; linear dispersive additive-Gaussian-noise channels; maximized throughput; optimum finite-length LTI transmit filters; receiver performance; symbol-by-symbol transmission; transmit filter optimization; water-pour filters; Autocorrelation; Dispersion; Finite impulse response filter; Interference constraints; Intersymbol interference; Nonlinear filters; Throughput; Transceivers; Transmitters; Wideband;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.681680
