This paper presents a robust Adaptive Fuzzy Neural Controller (AFNC) suitable for identification and control of a class of uncertain MIMO nonlinear systems. The proposed controller has the following salient features: (1) Selforganizing fuzzy neural structure, i.e. fuzzy control rules can be generated or deleted automatically; (2) Online learning ability of uncertain MIMO nonlinear systems; (3) ...

In this study, a Multi-Objective Genetic Algorithm (MOGA) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear Multi-input Multi-output (MIMO) systems. In the process of nonlinear system identification, structure selection, parameter estimation, model performance and model validation are important objectives. Furthermore, securing low-level and high-level int...

Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) systems have been receiving a great attention as one of the solutions for achieving high speed, efficient, and high quality of service wireless communications. However, the main drawback of MIMO OFDM systems is high Peak to Average Power Ratio (PAPR) because of its sensitivity to the nonlinear distortions in...

The combination of MIMO–OFDM is a very attractive solution for broadband wireless services. Thus, the two prominent fourth-generation (4G) cellular systems, WiMAX and LTE-advanced, have both adopted MIMO–OFDM transmission at the physical layer. OFDM signal however suffers from nonlinear distortions when passed through high-power amplifier (HPA) at the RF stage. This nonlinear distortion introdu...

In the past few years considerable attention has been given to the design of Multiple-Input Multiple-Output (MIMO) Eigenmode Transmission Systems (EMTS). This paper presents an in-depth analysis of a new MIMO eigenmode transmission strategy. The non-linear decomposition technique called Geometric Mean Decomposition (GMD) is employed for the formation of eigenmodes over MIMO flatfading channel. ...

This paper proposes an advanced MIMO-OFDM reconfigurable architecture along with companding transform. The reconfigurable architecture uses switching algorithm between MIMO diversity and special multiplexing which allows selecting the MIMO configuration and improves the BER. The major drawback of orthogonal frequency division multiplexing (OFDM) system is peak to average power ratio (PAPR). Man...

In this letter, we address the problem of waveform optimization for multi-input multioutput (MIMO) space-time adaptive processing (STAP) in the presence of colored Gaussian disturbance. A novel diagonal loading (DL) based method is proposed to optimize the waveform covariance matrix (WCM) for maximizing the output signalinterference-noise ratio (SINR) of MIMO-STAP such that the detection perfor...

Nonlinear precoding improves the downlink bit error rate (BER) performance of multi-user multiple-input multiple-output (MUMIMO). Broadband single-carrier (SC) block transmission can improve the capability that nonlinear precoding reduces BER, as it provides frequency diversity gain. This paper considers Tomlinson-Harashima precoding (THP) as a nonlinear precoding scheme for SC-MU-MIMO downlink...