A blind Adaptive Space-Time Lifted Multiple-Input Multiple-Output (ASTL-MIMO) multiuser receiver is proposed for multipath MIMO channel estimation and multiuser detection of MIMO DS-CDMA systems in a realistic outdoor channel. An iterative and robust ASTL-MIMO Beamformer is employed to estimate the multipath MIMO channel parameters. For each iteration, the tracking mode with consideration of MI...

A general stochastic spatial MIMO channel model is proposed for evaluating various MIMO techniques in this paper. It can generate MIMO channels complying with various MIMO configurations such as smart antenna, spatial diversity and spatial multiplexing. The modeling method produces the stochastic fading involving delay spread, Doppler spread, DOA (direction of arrival), AS (angle spread), PAS (...

Channel equalization is an important step in most applications of digital communications. In this paper we consider the equalization of Multiple Input Multiple Output (MIMO) channels. To that end we derive the theory of MIMO biorthogonal partners, a concept that has already been introduced (only in the scalar case) by the authors. We develop conditions for the existence of an FIR MIMO biorthogo...

In this work we assess performance of multiple-input multiple-output (MIMO) antenna systems with space-time processing over a frequency-selective channel in presence of time-dispersive co-channel interference. We evaluate the performance of the conventional MIMO-decision-feedback equalizer (MIMO-DFE) receiver and also propose a low complexity receiver, based on the decoupled interference cancel...

in this paper we try to review recent works on optimal training sequence design for MIMO and MIMO OFDM systems. We also classify these works, according to assuming MIMO channel model, into two main categories. First, works that assume MIMO channel are independent identically distributed. Second group assumes MIMO channel are correlated. Simulation results are presented. It has been illustrated ...

MIMO(Multiple Input Multiple Output) technology was found to exploit the channel richness and spatial diversity, its possible to increase data throughput and reduce the error probability[1]. MIMO channel capacity was derived by Teletar in [2], MIMO find its application in many technology such as HSPA and WLAN. Recent research were devoted to applicability of MIMO to satellite communication and ...

Massive MIMO is widely recognized as an essential technology for 5G. Together with newly allocated spectrum (bandwidth) and network densification (small cells), it is expected to play a key role in coping with the ongoing explosion in data-traffic demand and services. Compared to 4G MIMO technologies, massive MIMO can offer large gains in cell spectral efficiency, which, in combination with sma...

Multiple-input multiple-output (MIMO) technologies are capable of substantially improving the achievable system’s capacity, coverage and/or quality of service. The system’s ability to approach the MIMO capacity depends heavily on the designs of MIMO receiver and/or transmitter, which are generally expensive optimisation tasks. Hence, researchers and engineers have endeavoured to develop efficie...