Title :
Throughput-maximizing FIR transmit filters for linear dispersive channels
Author :
Al-Dhahir, Naofal
Author_Institution :
GE Corp. Res. & Dev. Centre, Niskayuna, NY, USA
fDate :
11/1/1998 12:00:00 AM
Abstract :
Optimum finite-impulse response 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 to 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 minimum mean-square error decision-feedback equalizer receiver structure
Keywords :
FIR filters; Gaussian channels; decision feedback equalisers; dispersive channels; intersymbol interference; least mean squares methods; optimisation; receivers; DFE; average input energy constraint; channel throughput; linear dispersive additive Gaussian noise channels; linear dispersive channels; minimum mean-square error decision-feedback equalizer receiver structure; optimum finite-impulse response transmit filters; receiver performance; symbol-by-symbol transmission; throughput-maximizing FIR transmit filters; transmit filter optimization; Additive noise; Autocorrelation; Decision feedback equalizers; Dispersion; Finite impulse response filter; Intersymbol interference; Nonlinear filters; Throughput; Transceivers; Transmitters;
Journal_Title :
Communications, IEEE Transactions on
