For 3G cellular systems to compete in the mobile data market with emerging technologies like WiMax/802.16 in the medium to long-term, multi-antenna transmission and reception (known as MIMO) will be required to achieve the requisite high data rates. One of the greatest challenges facing MIMO in the context of 3G is that present MIMO systems do not cope gracefully with high levels of interferenc...

To satisfy the dramatically growing wireless mobile communication demands, using multiple antennas at both a base station and a mobile terminal, referred as a multiple-input multiple-output (MIMO) system, is a promising major breakthrough. Without additional power and spectrum compared with conventional single-input single-output (SISO) systems, channel capacity of MIMO systems can increase pro...

Multiple-Input Multiple-Output (MIMO) antenna systems present a radical way to improve the performance of wireless communications. Such systems can be utilized in wireless ad hoc networks for improved throughput in several ways. A straightforward way is to regard the MIMO system just as a new link layer technology that provides a higher data rate. In this way, MIMO systems can be integrated wit...

Multiple-input Multiple-output (MIMO) systems use multiple antennas at the transmitter and receiver end, are a key technology to meet the growing demand for high data rate wireless systems. MIMO communication systems have the potential to provide increased capacity and reduced bit error rate and reliability without increasing the bandwidth or transmitted power. Obtaining this information, It’s ...

This paper investigates the performance of MultipleInput Multiple-Output (MIMO) feedback system combined with Orthogonal Frequency Division Multiplexing (OFDM). Two types of codebook based channel feedback techniques are used in this work. The first feedback technique uses a combination of both the long-term and short-term channel state information (CSI) at the transmitter, whereas the second t...

This paper addresses the blind deconvolution of multi-input– multi-output (MIMO) FIR systems driven by white non-Gaussian source signals. First, we present a weaker condition on source signals than the so-called i.i.d. condition so that blind deconvolution is possible. Then, under this condition, we provide a necessary and sufficient condition for blind deconvolution of MIMO FIR systems. Finall...

Space-Time Block Coding (STBC) with MultipleInput Multiple-Output (MIMO) set-up proves to be an efficient method for better BER performance and efficient PAPR. In this review paper we have study the different Methodology for achieving the better BER performance. Finally compare the performance of the STBC-OFDM systems for various systems. The system of using multiple antennas at both transmitte...

This thesis addresses the problems of blind source separation (BSS) and blind and semi-blind communications channel equalization. In blind source separation, signals from multiple sources arrive simultaneously at a sensor array, so that each sensor output contains a mixture of source signals. Sets of sensor outputs are processed to recover the source signals from the mixed observations. The ter...

Although some necessary conditions for the strong stabilizability of linear multidimensional ( ) multiple-input–multiple-output (MIMO) systems have been available recently, very little is known about sufficient conditions for the same problem. This note presents two sufficient conditions for strong stabilizability of some classes of linear MIMO systems obtained using an algebraic approach. A si...