Title :
Joint prefiltering and MLSE equalization of space-time-coded transmissions over frequency-selective channels
Author :
Younis, Waleed ; Al-Dhahir, Naofal
Author_Institution :
AT&T Shannon Lab., Florham Park, NJ, USA
fDate :
1/1/2002 12:00:00 AM
Abstract :
The problem of designing a front-end prefilter to improve the performance and/or reduce the complexity of maximum likelihood sequence estimation equalization of space-time-coded signals is addressed in this paper. The front-end prefilter performs channel shortening without excessive noise enhancement and is constrained to be a finite impulse response filter for practical implementation. Transmission scenarios emphasized assume two transmit antennas (with delay diversity or space-time trellis coding) and either one or two receive antennas. Extensions to more antennas are straightforward. Various design parameters (such as number of prefilter taps, number of equalizer states, and decision delay) are optimized using Monte Carlo simulations in a typical urban EDGE environment
Keywords :
FIR filters; Monte Carlo methods; antenna arrays; antenna theory; cellular radio; equalisers; maximum likelihood sequence estimation; receiving antennas; source coding; time division multiple access; transmitting antennas; FIR filter; MLSE equalization; Monte Carlo simulations; channel shortening; decision delay; delay diversity; equalizer states; finite impulse response filter; frequency-selective channels; front-end prefilter; joint prefiltering/MLSE equalization; maximum likelihood sequence estimation equalization; prefilter taps; receive antennas; space-time trellis coding; space-time-coded transmissions; transmission scenarios; transmit antennas; urban EDGE environment; Constellation diagram; Decision feedback equalizers; Delay; Finite impulse response filter; Frequency estimation; Intersymbol interference; Laboratories; Maximum likelihood estimation; Receiving antennas; Transmitting antennas;
Journal_Title :
Vehicular Technology, IEEE Transactions on