We propose a simple semi-analytical estimator to predict the performance of optical transmission systems without in-line dispersion compensation and mixed fiber types.
In this paper, we propose a LexOnt, a semiautomatic ontology creation tool for high-level service ontology.
We address the problem of pilot and data channels mismatch in a SSTS (steered space time spreading) system by means of advanced signal processing at the mobile receiver.
We propose a joint uplink/downlink channel estimation scheme for frequency-division duplex (FDD) massive MIMO systems, that is based on the analog feedback of the downlink channel state information
Some of the wireless standards, e.g. IEEE 802.16-2004, allow successive transmission of a number of consecutive slots, where each of them contains a training (pilot) interval.
We consider a transmission system, where the emitted symbols are subject to unknown nonlinear intersymbol interference.
The aim of this paper is to investigate receiver techniques for ML joint channel/data estimation in fading MIMO channels that are both i) data efficient and ii) computationally attractive.
A semi-blind approach for the adjustment of spatio-temporal filter coefficients in short burst Spatial Division Multiple Access (SDMA) systems is proposed.
A semi-blind approach for the adjustment of spatio-temporal filter coefficients in short burst Spatial Division Multiple Access (SDMA) systems is proposed.
The problem of symbol synchronization for semi-blind antenna array signal processing in digital communications is considered.
