On the transfer matrix of a MIMO system

We develop a deterministic ab-initio model for the input-output relationship of a multiple-input multiple-output (MIMO) wireless channel, starting from the Maxwell equations combined with Ohm's Law. The main technical tools are scattering and geometric perturbation theories. The derived relationship can lead us to a deep understanding of how the propagation conditions and the coupling effects between the elements of multiple-element arrays affect the properties of a MIMO channel, e.g. its capacity and its number of degrees of freedom.Comment: Accepted for publication in Mathematical Methods in the Applied Science

Analysis of Single RF Performance on MIMO-OFDM System Using Turbo Code and V-BLAST MMSE Detection

Along with the passing time and recent technology, the advancement of information technology has been increased in the wireless technology. The common methods that are used in this wireless communication are MIMO (Multiple Input Multiple Output) and OFDM (Orthogonal Frequency Division Multiplexing). MIMO is a system stands for a couple antenna on the transmitter and receiver which are working on themultipath component. While OFDM (Orthogonal Frequency Division Multiplexing) is a transmission method using multicarrier technique, dividing spectrum frequency into a couple subcarrier. The combination of MIMO and OFDM results in a high-speed transfer data system. The Single RF has reduced the USAge of RF Front-End into a bigger matrix size in the conventional MIMO system. This final project will discuss about the Single RF system of MIMO-OFDM with the V-BLAST (Vertical Bell Laboratories Space-Time) and MMSE (Minimum Mean Square Error) detectionwhich is used to remove ISI (Intersymbol Interference) combined with theTurbo Code,where theTurbo Encoder that lies on the transmitter side is also theTurbo Decoder in the receiver side. MIMO-OFDM utilizesthe Single RF (Radio Frequency) basis. The test on this final project will include a Single RF antenna on the MIMO-OFDM system, MIMO-OFDM with the V-BLAST detector and MMSE MIMO-OFDM with the Turbo Code, by using 64 QAM modulation. The expected result is the analysis performance of the Single RF on the MIMO-OFDM system using Turbo Code and V-BLAST MMSEDetection. The system will be shown on theBit Error Rate (BER) toward the Signal to Noise Ratio (SNR)

Implementation and Validation of a Lumped Model for an Experimental Multi-Span Web Transport System

Correct modeling is necessary in order to design a better control system or to identify the plant parameters experimentally. On the web dynamics itself, lumped parameters expressions may be used to designate a web section between two adjacent drive rolls, and there is the necessity of incorporating the property of viscoelasticity to the web. Lumped model of an experimental multi-span web transport system is based on the conservation mass, torque balance and viscoelasticity. A new way for describing this kind of MIMO system has been introduced through a four by four Transfer Matrix which considers mutual interactions between inputs and outputs. Finally, comparing experimental data with Transfer Matrix parametric expressions, it has been possible to identify the system parameters and thus fully validate the effectiveness of the proposed dynamic lumped model.The 2017 Asian Control Conference -ASCC2017, December 17-20, 2017, Gold Coast Convention Centre, Australi

A Procedure for Estimating the Combustion Noise Transfer Matrix of a Diesel Engine

In the present work, a procedure for estimating an engine-platform-dependent transfer matrix that relates cylinder pressures to radiated sound pressures resulting from the combustion process is developed based on multi-input/multi-output (MIMO) system analysis in conjunction with cross-spectral measurements. The measurement scheme comprises a set of pressure transducers flush mounted to the engine cylinders and field microphones at locations of interest. To-date, the empirical prediction of diesel engine combustion noise has usually been achieved by combining a cylinder pressure with a single, smoothed structural attenuation function. In comparison, the proposed procedure provides the structural attenuation characteristics in the form of a transfer matrix specific to a particular engine, thus allowing more accurate prediction by accounting fully for inter-cylinder correlation and cylinder-to-cylinder variation. The procedure is demonstrated by the application to a six-cylinder diesel engin

A wireless precoding technique for millimetre-wave MIMO system based on SIC-MMSE

A communication method is proposed using Minimum Mean Square Error (MMSE) precoding and Successive Interference Cancellation (SIC) technique for millimetre-wave multiple-input multiple-output (mm-Wave MIMO) based wireless communication system. The mm-Wave MIMO technology for wireless communication system is the base potential technology for its high data transfer rate followed by data instruction and low power consumption compared to Long-Term Evolution (LTE). The mm-Wave system is already available in indoor hotspot and Wi-Fi backhaul for its high bandwidth availability and potential lead to rate of numerous Gbps/user. But, in mobile wireless communication system this technique is lagging because the channel faces relative orthogonal coordination and multiple node detection problems while rapid movement of nodes (transmitter and receiver) occur. To improve the conventional mm-wave MIMO nodal detection and coordination performance, the system processes data using symbolized error vector technique for linearization. Then the MMSE precoding detection technique improves the link strength by constantly fitting the channel coefficients based on number of independent service antennas (M), Signal to Noise Ratio (SNR), Channel Matrix (CM) and mean square errors (MSE). To maintain sequentially encoded user data connectivity and to overcome data loss, SIC method is used in combination with MMSE. MATLAB was used to validate the proposed system performance

Two-way beamforming optimization for full-duplex SWIPT systems

In this paper, we investigate the problem of two-way relay beamforming optimization to maximize the achievable sum-rate of a simultaneous wireless information and power transfer (SWIPT) system with a full-duplex (FD) multiple-input multiple-output (MIMO) amplify-and-forward (AF) relay. In particular, we address the optimal joint design of the receiver power splitting (PS) ratio and the beamforming matrix at the relay node given the channel state information (CSI). Our contribution is an iterative algorithm based on difference of convex (DC) programming and one-dimensional searching to achieve the joint optimal solution. Simulation results are provided to demonstrate the effectiveness of the proposed algorithm

SIC-MMSE method based wireless precoding technique for millimetre-wave MIMO system

A communication method is proposed using Minimum Mean Square Error (MMSE) precoding and Successive Interference Cancellation (SIC) technique for millimetre-wave multiple-input multiple-output (mm-Wave MIMO) based wireless communication system. Background: The mm-Wave MIMO technology for wireless communication system is the base potential technology for its high data transfer rate followed by data instruction and low power consumption compared to Long-Term Evolution (LTE). The mm-Wave system is already available in indoor hotspot and Wi-Fi backhaul for its high bandwidth availability and potential lead to rate of numerous Gbps/user. But, in mobile wireless communication system this technique is lagging because the channel faces relative orthogonal coordination and multiple node detection problem while rapid movement of nodes (transmitter and receiver) occur. Methods/Improvement: To improve the conventional mm-wave MIMO nodal detection and coordination performance, the system processes data using symbolized error vector technique for linearization. Then the MMSE precoding detection technique improves the link strength by constantly fitting the channel coefficients based on number of independent service antennas (M), Signal to Noise Ratio (SNR), Channel Matrix (CM) and mean square errors (MSE). To maintain sequentially encoded user data connectivity and to overcome data loss, SIC method is used in combination with MMSE. Improvements: MATLAB was used to validate proposed system performance. Simulation analysis shown that, with the increase number of antennas use, the spectral efficiency also increased and higher then millimetre-wave MIMO or Single MMSE system. This research observed that, hybrid controller or combined control method have the better efficiency then single method, where SIC-MMSE based hybrid controller is a good example

Optimization of Pseudo Random Binary Sequence (PRBS) combination for Online Modeling of MIMO Ill-conditioned System

This paper aims to improve the performance of system identification based on optimization of Pseudo Random Binary Sequence (PRBS) excitation signal combination for Multiple-Input Multiple Output (MIMO) Ill-Conditioned system. Ill-conditioned system is defined as system that is formed by various variables and the level of interaction between all the variables is high. It is found that in the case of ill-conditioned system, the design of PRBS combination as excitation signal will affect the performance of system identification. The experimental subject of this paper is the air pilot plant that is located in Universiti Teknologi PETRONAS (UTP). Empirical modeling method is first used to obtain the steady gain matrix of the system, followed by the transfer function based on the time constant of the system. A process will be created on simulation based on the transfer function obtained. High correlated, moderate correlated and un-correlated set of PRBS will be used as excitation signal for system identification. The test signal combination will also be tested in the real plant implementation. The performance of different combination of PRBS will be examined by using Bode plot and fit percentage. The result shows that the lower the correlation, the better the modeling performance for the operation in both simulated and real process environmen