Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser.
2016 •
This paper contain some advanced application of MIMO systems and some main notes in their i mplementations, which started by MIMO wi th ZF techni que that investigate the effects of phase noise in centralized and distri buted narrowband MIMO systems, and discuss the feasibility of phase and frequency synchronizati on problem. An equalizer, called successive interference cancellation zero-forcing equalizer (SIC-ZFE) is proposed. The proposed equalizer provi des ISI-free communicati ons over the IS I MIMO channels without a long guard peri od. The simulated results wi th the 2 ×2 MIMO system wi th zero forcing equalizer showed matchi ng results as obtained in for a 1 ×1 system for BPS K modul ation in Rayleigh channel. In this paper , we will try to i mprove the bit error rate performance by trying out Successive Interference Cancellati on (SIC). We will assume that the channel is a flat fading Rayleigh multi path channel and the modulation is BPSK. Simulati on results show that even with only one selected antenna at the recei ver, performances in terms of B ER still satisfactory. Nevertheless, when more antennas are selected, better B ER val ues are achieved thanks to recei ve di versity.
Journal of Network and Information Security
Performance Analysis of Zero Forcing and MMSE Equalizer on MIMO System in Wireless Channel2020 •
In wireless communication research multiple communication antennas are one of the major contexts. At present wireless communication is moving fast and the best example is MIMO. Wireless transmission is suffering from fading and interference effects which may be combated with equalizer. As a result of fading and interference, it creates a problem for signal recovery in wireless communication. The MIMO system uses Multiple Transmit and Multiple Receive antennas which take advantages of multipath propagation during a high distraction environment. This paper analyses the performance of Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) equalizer for 2×2 and 4×4 MIMO wireless channels. By using MATLAB toolbox version 2015a simulation results can be got to the RF processing lab. The Bit Error Rate (BER) features for various communication antennas is simulated in the MATLAB toolbox and many merits and demerits of the system are discussed. The simulation results show that the equalizer based zero-forcing receiver is helpful for noisefree channel and is successful in removing ISI, but MMSE is an optimal choice than ZF in terms of BER characteristics.
Global Journal of Research In Engineering
Performance Analysis of Zero Forcing Equalizer in 2×2 and 3×3 MIMO Wireless Channel2015 •
Wireless transmission is affected by fading and interference effects which can be combated with equalizer. The use of MIMO system promises good improvement in terms of spectral efficiency, link reliability and Signal to Noise Ratio (SNR). The effect of fading and interference always causes an issue for signal recovery in wireless communication. Equalization compensates for Inter-Symbol Interference (ISI) created by multipath within time dispersive channels. This paper analyzes the performance of Zero forcing method for MIMO wireless channels. The simulation results are obtained using MATLAB. The Bit Error Rate (BER) characteristics for the various transmitting and receiving antenna simulates in MATLAB and describes many advantages and disadvantages of the system. The simulation results show that the equalizer based zero forcing receivers is good for noise free channel and is successful in removing ISI.
2012 •
In wireless communications, spectrum is a scarce resource and hence imposes a high cost on the high data rate transmission. It has been demonstrated that multiple antenna system provides very promising gain in capacity without increasing the use of spectrum, reliability, throughput, power consumption and less sensitivity to fading, hence leading to a breakthrough in the data rate of wireless communication systems In this paper, we study the MIMO system architecture, with optimally ordered successive interference cancellation (SIC) receiver in MINIMUM MEAN SQUARE ERROR(MMSE) EQUALIZER and simulate this structure in Rayleigh fading channel. Based on bit error rate, we show the performance of this receiver, indicates that the ordered SIC detector most effectively balances the accuracy of symbol detection. SIC receiver based on MMSE combined with symbol cancellation and optimal ordering improves the performance with lower complexity. Finally, the paper addresses the current questions re...
Multiple-input–multiple-output (MIMO) technology is a latter development in wireless communications and has been shown to increase channel capacity in single user systems. The use of multiple antennas at both the transmitter and receiver can considerably increase the channel capacity. These systems are called the multiple input multiple-output (MIMO)systems. Growth of mobile data applications has increased the requirement for wireless communication systems which offers high throughput, wide coverage, and improved reliability. The main challenges in the design of such systems are the limited resources (like transmission power, scarce frequency bandwidth and limited implementation complexity) and the impairments of the wireless channels which includes noise, interference, and fading effects. MIMO system is one of the favorable wireless technologies that can attain above demands. In this thesis, the performance of Multiple-input–multiple-output (MIMO) scheme is analyzed under Rayleigh fading channel for Minimum mean square error (MMSE), MMSE-SIC, Zero-forcing (ZF), ZF- Successive interference cancellation (ZF-SIC) equalization techniques. The analysis of this combining method is done on the basis of two major factors, Eୠ⁄N (Signal to Noise Ratio) and Bit Error Rate (BER) performance using QAM modulation technique. We analyzed BER of QAM modulation with 2x2 MIMO with ZF-SIC and MMSE-SIC and it shows that MMSE-SIC gives better BER performance than ZF-SIC equalizer. Zero Forcing equalizer performs effectively only in theoretical assumptions that are when noise is zero. Its performance reduces in mobile fading environment. The MMSE equalizer results in improvement when compared to zero forcing equalizer.
In recent years, multi-antenna techniques are being considered as a potential solution to increase the flow of future wireless communication systems. The objective of this article is to study the emission and reception system MIMO (Multiple Input Multiple Output), and present the different reception decoding techniques. First we will present the least complex technical, linear receivers such as the zero forcing equalizer (ZF) and minimum mean squared error (MMSE). Then a nonlinear technique called ordered successive cancellation of interferences (OSIC) and the optimal detector based on the maximum likelihood criterion (ML), finally, we simulate the associated decoding algorithms for MIMO system such as ZF, MMSE, OSIC and ML, thus a comparison of performance of these algorithms in MIMO context.
International Journal for Research in Applied Science & Engineering Technology
Performance Analysis of ZF-SIC and MMSE Equalizers for MIMO System in the Presence of Alpha(α)-MU(µ) Fading Channel2021 •
Fifth generation cellular networks are the key systems which are being deployed in the near future. The enabling technology, Multiple-In Multiple-Out (MIMO) wireless technology makes use of varied number of antennas at the transmitter and multiple antennas at the receiver for transmission of the information in cellular communication systems. This MIMO technology acts as a foundation and aims to improve the spectral efficiency and throughput in fifth generation wireless communication systems. The most common parameters we come across in wireless communications are Bit error rate (BER), Inter Symbol Interference (ISI), Signal to Noise ratio (SNR), Signal to Interference plus Noise ratio (SINR), Successive interference cancellation (SIC), etc. The primary objective of this paper is to improve the BER performance by minimizing SIC using Zero Forcing-Successive Interference Cancellation (ZF-SIC) with optimal ordering and suppress the noise enhancement prevailing in the channel by an extended detection technique, Minimum Mean Square Error (MMSE). As a purpose to improve the channel capacity, MIMO systems are utilized for transmission purpose lately. Quadrature Phase Shift Keying (QPSK) modulation technique is utilized in the system model, which makes use of the same channel bandwidth and carries twice the information and alongside Binary Phase Shift Modulation Technique (BPSK) is also made use of in the system model to provide a comparative analysis among the detection techniques and modulation techniques discussed previously. MIMO fading distribution such as alpha(α)-mu (μ) fading channel distribution is taken into consideration to generate a channel model. The simulated results are analysed and compared with respect to their BER performance taking into account diverse values of alpha(α), mu(μ) parameters. The significance of this paper is to provide a channel efficient, minimized successive interference cancellation at the receiver end in order to make the system more reliable, less complex, interference negligent and simultaneously improve the BER performance. In the near future, these MIMO techniques form a foundation to produce more reliable systems with high terahertz bandwidth. This indeed will open to more seamless communication in various fields of technology.
Personal, Indoor and …
Zero forcing equalizing filter for MIMO channels with intersymbol interference2002 •
Equalization in the time domain is a well-known technique for combating intersymbol interference (ISI) in frequency selective channels. We derive the general structure of the linear zero forcing (ZF) equalizing filters for multiple input multiple output (MIMO) communication systems with more outputs than inputs. These filters are finite impulse response (FIR) filters in general and their structure is determined by the number of inputs and outputs. The relation between the spatial diversity of the system and the ...
International Journal of Engineering Research and Technology (IJERT)
IJERT-Analysis and Optimization of Equalisation Techniques in MIMO Systems2014 •
https://www.ijert.org/analysis-and-optimization-of-equalisation-techniques-in-mimo-systems https://www.ijert.org/research/analysis-and-optimization-of-equalisation-techniques-in-mimo-systems-IJERTV3IS050693.pdf Multiple Inputs and Multiple Output System (MIMO), is being used for improving the performance of the channel fading of system consisting of more than one transmitting antenna and more than one receiving antenna. In this paper, the comparison of different equalization techniques has been discussed for better analysis of a MIMO system. The 2×2 MIMO Systems consisting of two transmitting and two receive antennas have simulated through MATLAB software.The radio channelsin mobile radio systems are a usually multipath fading channel which causes Inter-symbol interference (ISI) in the received signal. To remove ISI from the signal, there is a need of strong Equalizer .The different Equalization techniques such as Zeroforcing equalization, Minimum mean square error and Maximum Likelihood Decoding are implemented and the best suited techniques have been predicted.
Академик Шахматов: жизнь, творчество, научное наследие
Ремесло историка в Повести временных лет. О влиянии переводных византийских хроник на летопись8th International Project and Construction Management Conference (IPCMC2024) Proceedings Book
Design and Construction Considerations for Multi-Storey Buildings with Prefabricated Pre-Finished Volumetric Construction (PPVC)2024 •
Selçuk Üniversitesi Edebiyat Fakültesi Dergisi
(51/2) Biçimsözdizim-Sesbilim Arakesitinde Dolaysız Gönderim Yaklaşımı / The Direct Reference Approach in the Morphosyntax-Phonology InterfaceAnti-Grand: Contemporary Perspectives on Landscape
Anti-Grand: Contemporary Perspectives on Landscape2015 •
2012 •
Biophysical Journal
GsMTx4 Mutagenesis Reveals Dynamic Membrane Binding Properties that Confer Inhibition of Piezo12016 •
2009 •
Global journal of management and business research
Nurturing Growth: Exploring Factors Influencing Female Youth Entrepreneurs in Lusaka's Central Business District2024 •
2018 •
arXiv (Cornell University)
Testing the $\mathbf{\Lambda}$CDM Cosmological Model with Forthcoming Measurements of the Cosmic Microwave Background with SPT-3G2024 •
Arxiv preprint arXiv:0911.4033
Extending Firewall Session Table to Accelerate NAT, QoS Classification and Routing2009 •
Bibliotekovedenie [Russian Journal of Library Science]
Current State of School Libraries in the System of Modern Education of the Russian Federation