[[abstract]]In the literature, the performance of maximum-likelihood sequence estimation (MLSE) equalization on multipath fading channels is analysed under the assumption of perfect channel estimates. In reality, this condition is difficult to attain, especially for fast fading channels. It is therefore of great significance to study the performance degradation due to imperfect channel estimates. In this paper, we consider a practical MLSE equalizer in conjunction with a least mean square (LMS) channel estimator and a simple channel predictor. A new upper-bound on block error rate is derived for multipath Rayleigh fading channels[[fileno]]2030174030002[[department]]電機工程學
Adaptive channel equalization without resorting to a training sequence is often referred to as blind...
This thesis covers two topics of great interest in wireless communications and signal processing: as...
ABSTRACT: A maximum likelihood sequence estimator for the dispersive Rayleigh fading channel is dev...
[[abstract]]In the literature, the performance of maximum-likelihood sequence estimation (MLSE) equa...
[[abstract]]We consider a practical maximum-likelihood sequence estimation (MLSE) equalizer on multi...
[[abstract]]We consider a practical maximum-likelihood sequence estimation (MLSE) equalizer on multi...
[[abstract]]In this paper an upper bound on bit error probability of a maximum likelihood sequence e...
Novel channel equalizer algorithms are introduced for wireless communication systems to combat chan...
This paper presents an overview of adaptive equalization used in multiple-input-multiple-output (MIM...
In order to gain insights on equalization design in the wireless mobile communication systems, we co...
A novel channel equalizer algorithm is introduced for wireless communication systems to combat chan...
Vandendorpe (see IEEE International Zurich Seminar, p.440-451, 1994) proposed the combination of mul...
International audienceThis paper considers the problem of maximum a posteriori (MAP) sequence equali...
We investigate maximum likelihood sequence estimation (MLSE) of data sequences transmitted over time...
Summarization: We assess the impact of the channel and carrier frequency offset (CFO) estimation err...
Adaptive channel equalization without resorting to a training sequence is often referred to as blind...
This thesis covers two topics of great interest in wireless communications and signal processing: as...
ABSTRACT: A maximum likelihood sequence estimator for the dispersive Rayleigh fading channel is dev...
[[abstract]]In the literature, the performance of maximum-likelihood sequence estimation (MLSE) equa...
[[abstract]]We consider a practical maximum-likelihood sequence estimation (MLSE) equalizer on multi...
[[abstract]]We consider a practical maximum-likelihood sequence estimation (MLSE) equalizer on multi...
[[abstract]]In this paper an upper bound on bit error probability of a maximum likelihood sequence e...
Novel channel equalizer algorithms are introduced for wireless communication systems to combat chan...
This paper presents an overview of adaptive equalization used in multiple-input-multiple-output (MIM...
In order to gain insights on equalization design in the wireless mobile communication systems, we co...
A novel channel equalizer algorithm is introduced for wireless communication systems to combat chan...
Vandendorpe (see IEEE International Zurich Seminar, p.440-451, 1994) proposed the combination of mul...
International audienceThis paper considers the problem of maximum a posteriori (MAP) sequence equali...
We investigate maximum likelihood sequence estimation (MLSE) of data sequences transmitted over time...
Summarization: We assess the impact of the channel and carrier frequency offset (CFO) estimation err...
Adaptive channel equalization without resorting to a training sequence is often referred to as blind...
This thesis covers two topics of great interest in wireless communications and signal processing: as...
ABSTRACT: A maximum likelihood sequence estimator for the dispersive Rayleigh fading channel is dev...