A Decorrelating-MRC Based Space---Time Multiuser Receiver for Time-Hopping UWB System

Authors:
Wei-Chiang Wu
Affiliations:
Department of Electrical Engineering, Da Yeh University, Changhua, Taiwan, R.O.C
Venue:
Wireless Personal Communications: An International Journal
Year:
2009

Citing 6
Cited 0

Multiuser Detection

Multiuser Detection
Blind channel estimation in aperiodic time-hopping ultra-wideband communications

IEEE Transactions on Signal Processing - Part I
On the performance of using multiple transmit and receive antennas in pulse-based ultrawideband systems

IEEE Transactions on Wireless Communications
Performance of ultrawideband SSMA using time hopping and M-ary PPM

IEEE Journal on Selected Areas in Communications
The ultra-wide bandwidth indoor channel: from statistical model to simulations

IEEE Journal on Selected Areas in Communications
A time-division multiple-access SC-FDE system with IBI suppression for UWB communications

IEEE Journal on Selected Areas in Communications - Part 1

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a two-stage linear multiuser detector (LMD) for ultra wideband (UWB) multiple single-input multi-output (M-SIMO) system and multipath fading environment. Time-hopping (TH) and antipodal pulse amplitude modulation (PAM) are employed for the multiple access system. The decorrelating detector is first employed at the front end of each receive antenna to eliminate the multi-user interference (MUI), then a set of maximum-ratio-combiners (MRC) are proceeded to maximize the signal-to-noise power ratio (SNR) for each user. Since the channel information is crucial for the Decorrelating-MRC (D-MRC) receiver, we develop a subspace-based blind M-SIMO channel estimation method. The effect of channel estimation error on system performance is extensively evaluated. It is also verified from the analytical and numerical results that by exploiting both spatial and temporal diversities, the D-MRC receiver dramatically improves system performance even without additional coding. Moreover, we demonstrate that both the D-MRC receiver and subspace-based blind channel estimator are computationally feasible and near-far resistant.