Although multi-user multiple-input multiple-output (MIMO) systems provide high data rate transmission, they may suffer from interference. Block diagonalization and eigenbeam-space division multiplexing (E-SDM) can suppress interference. The transmitter needs to determine beamforming weights from channel state information (CSI) to use these techniques. However, MIMO channels change in time-varyi...

In any communication system like MIMO OFDM system the transmitter and the receiver have to be synchronized to each other in order to make efficient transmission. Orthogonal frequency division multiplexing (OFDM) is a special case of multicarrier transmission, which eliminates ISI and ICI, while MIMO (Multi-Input Multi-Output) system increases the bandwidth due to the propagation of signals usin...

The Multi Input and Multi Output (MIMO) systems have been analyzed with a number of quantization techniques. In this short communication, few problems like performance and accuracy are investigated through a quantization technique based on Stiefel Manifold (SM). In order to improve these problems, suitable Trellis Coded Quantization (TCQ) based on Unit Memory (UM) coding is studied and applied ...

As a technology to realize high data rates and high capacity in wireless communication systems, Multiple-Input Multiple-Output (MIMO) system has received increasing attention. In MIMO systems, high spectral efficiency is achieved by spatially multiplexing multiple data streams at the same time and frequency [1]. The MIMO system with space division multiplexing (SDM) technique is categorized int...

Multi-input multi-output-orthogonal frequency-division multiplexing (MIMO-OFDM) is known as a proper solution for the wideband wireless communication. Numerous space-frequency block codes (SFBCs) and space-time-frequency block codes (STFBCs) have been proposed so far for implementing MIMO-OFDM systems. In this paper, a new fulldiversity STFBC is proposed for two transmit antennas, which could b...

Coarsely quantized massive Multiple-Input Multiple-Output (MIMO) systems are gaining more interest due to their power efficiency. We present a new precoding technique to mitigate the Multi-User Interference (MUI) and the quantization distortions in a downlink Multi-User (MU) MIMO system with coarsely Quantized Constant Envelope (QCE) signals at the transmitter. The transmit signal vector is opt...

In this paper we study optimal control of time-varying multi-input multi-output stochastic systems and develop a generalised minimum variance controller. The system to be controlled is described using a multiinput multi-output time-varying autoregressive moving average model that has multiple delays between the output and input. The controller minimises the sum of output tracking error variance...

Abstract: This paper proposes a novel scheme for multi-static passive radar processing, based on soft-input soft-output processing and Bayesian sparse estimation. In this scheme, each receiver estimates the probability of target presence based on its received signal and the prior information received from a central processor. The resulting posterior target probabilities are transmitted to the c...

Through the analysis of the probability density function of the largest squared singular value of a complex Gaussian matrix at the origin and tail, we obtain two asymptotic results related to the multi-input multi-output (MIMO) maximum-ratiotransmission/maximum-ratio-combining (MRT/MRC) systems. One is the asymptotic error performance (in terms of SNR) in a single-user system, and the other is ...

The discussion of bit and power loading algorithms for Multiple Input Multiple Output (MIMO) systems often neglects the requirement of perfect channel state information to perform singular value decomposition. Especially in multi-carrier systems like Orthogonal Frequency Division Multiplex (OFDM) a vast amount of feedback is necessary to facilitate such a scheme. In this paper the combination o...