Implementation of Channel Estimation and Modulation Technique for MIMO System (original) (raw)
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Theoretical Design of Mimo Transceiver and Implementation Its Transmitter Using Fpga
Diyala Journal of Engineering Sciences, 2014
The use of multiple transmit and receive antennas (MIMO system) is widely accepted in recent years, as a promising technology for future wireless communication, to achieve higher data rates independently of transmission power and bandwidth, with improve system reliability through increasing diversity. This research presents the design and implementation of a multiple antenna wireless communications system using Xilinx Field Programmable Gate Array (FPGA) .The proposed design based on Alamouti’s transmit diversity scheme which is a space-time block code (STBC) with two transmit antennas and an arbitrary number of receive antennas. The implementation demonstrates the space-time code in a baseband system with two antennas for transmitter and receiver. The encoding and decoding algorithms are implemented using VHDL, Spartan 3A /3AN is used to implement transmitter part, where the Virtex2P is used to complete the receiver part design theoretically. Finally the design MIMO systems are imp...
Future Wireless communication systems have to be designed to integrate features such as high data rates, high quality of service and multimedia in the existing communication framework. Increased demand in wireless communication systems has led to the demand for higher network capacity and performance. Higher bandwidth, optimized modulation offer practically limited potential to increase the spectral efficiency. Hence MIMO systems utilizes space multiplex by using array of antenna’s for enhancing the efficiency at particular utilized bandwidth. MIMO use multiple inputs multiple outputs for a single channel. These systems are defined by spectral diversity and spatial multiplexing. MIMO describes the ways to send data from multiple users on the same frequency/time channel using multiple antennas at the transmitter and receiver end.
Design of Modulation Technique for MIMO System
MIMO describes the ways to send data from multiple users on the same frequency/time channel using multiple antennas at the transmitter and receiver end. MIMO hold the potential of dramatically increasing the data rates and spectral efficiency of wireless communication system. The growth in the wireless communication led to the demand for higher network capacity and performance. The wireless channel is more unpredictable as compared with wireline channels because of multipath, shadow fading, doppler spread and time dispersion. Future Wireless communication systems have to be designed to integrate features such as high data rates, high quality of service and multimedia in the existing communication framework. Hence MIMO systems utilizes different techniques to reduce the effect of noise, fading, ISI etc. The main aim of this project is to demonstrate the working of a MIMO system which is carried till backend of the VLSI flow. The design is simulated in MATLAB to arrive at the specifications. The RTL code is written in Verilog-HDL and simulated in ModelSim. The design is then synthesized in Xilinx and implemented on Virtex2Pro FPGA board and the results were validated using Logic Analyzer. The synthesis and timing verification is carried using design compiler and primetime. And finally the design is carried to backend VLSI flow i.e. physical design to tape out the design. In this project Least Square (LS) channel estimation and QPSK modulation/demodulation techniques are used to implement 2x2 MIMO system. The operating frequency of the design is 13MHz. The design is implemented on Virtex2Pro and results were validated using Logic analyser. A 2x2 MIMO system takes about 3999 number of slices out of 4928 slices i.e. in Virtex2Pro the device selected is 2vp7ff896 at speed grade of 6 working with operating frequency of 7.27MHz. The 2vp30ff896 is selected with a speed grade of 6, the number of slices are 1902 out of 13696 i.e. 13% resources usage and working with an operating frequency of 13.388MHz.
IJERT-FPGA Implementation of Channel Estimation Technique in MIMO-OFDM System
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/fpga-implementation-of-channel-estimation-technique-in-mimo-ofdm-system https://www.ijert.org/research/fpga-implementation-of-channel-estimation-technique-in-mimo-ofdm-system-IJERTV3IS051794.pdf Supporting high mobility will be an important character of the future wireless communication systems. It challenges the channel estimaton technique a lot and there are two tough problems in front of us, they are multipath fading channel and bandwidth efficiency. Orthogonal Frequency Division Multiplexing (OFDM) technique changed the frequency selective multipath fading channels into flat fading channel in frequency domain, which effectively mitigates the effects of multipath propogation and, hence, increases data rate. We summarize and analyse the exciting channel estimation methods in mimoofdm system. In this paper, we propose a new hardware implementation of channel estimation for MIMO-OFDM. Our target is to minimize hardware resource utilization. At first, proper algorithm is chosen in consideration of hardware feature as well as communication theory for fast proto typing. Based on the algorithm, our architecture performs channel estimation by simple calculation logic without redundancy. Theoretical analysis and numerical results show that the new channel estimation scheme can offer a good performance and a high ability to track the time varying channel. Index Terms-FPGA,OFDM , mimo-ofdm, channel estimation I .INRODUCTION Multiple-input multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) are two key techniques for broadband wireless mobile communications. Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) technology is an attractive transmission technique for wireless communication systems with multiple antennas at transmitter and receiver. The core of this technology is that it divides one data stream to many. Hence, data rate, Dr. Ramesh Assoc. Prof ECE Department CMR Institute of Technology, Bangalore reliability and diversity can be increased along with the stability for multi-path signals. Future wireless communication system have to be designed to integrate features such as high data rates, high quality of service and multimedia in the existing communication framework. Increased demand in wireless communication system has led to demand for higher network capacity and performance. Higher bandwidth, optimized modulation offer practically limited potential to increase the spectral efficiency. Hence MIMO systems utilizes space multiplex by using array of antenna's for enhancing the efficiency at particular utilized bandwidth. MIMO use multiple inputs multiple outputs from single channel. These systems defined by spectral diversity and spatial multiplexing. The aim of this paper is to design and implement of channel estimation method and modulation technique for MIMO system. The design specifications are obtained using MATLAB. The RTL coding is carried for the design to be implemented on Xilinx FPGA. Next generation broadband wireless communications systems will be based on multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) [1] in order to deliver constantly increasing multimedia contents. MIMO-OFDM is a promising technique due to its different modulation schemes, implementation flexibility and robustness against channel frequency selectivity. In order to achieve a preset quality of service in MIMO-OFDM systems, channel estimation and detection techniquesare mandatory. In the literature, depending on the type of MIMO-OFDM system, several channel estimation and detection techniques have been proposed [2][3]. Bit error rate (BER) and implementation complexity are the main performance aspects when comparing their performances. In [2], reduced complexity single-input single-output OFDM (SISO-OFDM) channel estimation techniques have been proposed minimum mean square error (MMSE). The same procedure has been applied also to least squares (LS) type leading to an improvement in performance with a little increase in complexity. In this paper, an extension of these algorithms has been applied to MIMO-OFDM systems. Moreover, a rapid prototyping of these channel estimation techniques is proposed in order to compare hardware resources needed in case of FPGA implementations of these algorithms. The rest of the paper is organized as follows: in section 2, the SISO-OFDM and MIMO-OFDM systems are
Design and study of MIMO systems studied
In this research, we are interested in a telecommunications system MIMO (multiple input multiple output) spatial multiplexing in OFDM context. ) . The objective of this work is to study and improve the transmission and reception of this MIMO (Multiple Input Multiple Output) systems technology in a multi -carrier OFDM context (Orthogonal Frequency Division Multiplex), which enables a frequency-selective channel into multiple non-selective channels. The combination of MIMO and OFDM allows exploiting the benefits of the two methods: the strength of binding on frequency-selective channels for OFDM and robustness on uncorrelated in space for the MIMO channel coding. For different configurations of multi-antenna systems SISO, SIMO and MIMO, a comparative study is made between them. This study shows that the MIMO configuration associated with the OFDM technique provides a significant performance improvement compared to other case studies.
Channel Estimation Design of Mimoofdm Systems Using
2014
IEEE 802.11n is the latest development of IEEE 802.11 WLAN communication standard that provides higher significant throughput than IEEE 802.11a/g. With various of transmission channels in wireless communication, has decreased performance of the receiver antennas caused by noise interference and fading channel. Hence, there is a need to analyze channel estimation method to estimate and discover the real condition of channel information between transmitter and receiver for IEEE 802.11n WLAN communication standard. This research simulated the channel estimator using minimum mean squared error (MMSE) algorithm in MIMO-OFDM systems with 2x2 and 2x4 schemes. Rectangular shaping filter assumption in time domain is used for the channel approximation due to the multipath Rayleigh fading channel distribution. System performance value is shown in channel impulse response of Tx transmitter to Rx receiver. The simulation results indicate that channel estimator has been working on purpose in MIMO-OFDM system with antenna scheme of 2x2 and 2x4 as well.
Design and FPGA implementation of module for space multiplexing in multi-user MIMO system
Przegląd Elektrotechniczny, 2013
MIMO (multiple in multiple out) antenna system draw attention in the recent years due to its potential for achieving high data rates. In this work novel DSP algorithm and FPGA implementation will be presented that allows transmitting M data streams to M receiving antennas from N transmitting antennas (M N) into the same frequency with total interference suppression while maximizing channel gain for each data stream at the same time. Streszczenie. W artykule zaprezentowano nowy algorytm DSP z implementacja w FPGA umozliwiający transmisje strumienia M danych do M anteny odbiornika z anteny przesylowej N (M N) z tą sama czestotliwością z tlumieniem zaklocen - przy maksymalizacji wzmocnienia dla kazdego strumienia danych w kanale. (Projekt i implementacja FPGA modulu do przestrzennego multipleksowania w systemie MIMO w wieloma uzytkownikami)
Mimo Technology for Wireless Communication and Wireless Computer Networking
2013
The demand of wireless communication in the field of Wireless Computer networking and mobile phones(communications) is constantly growing and need the tether less connectivity. The major limitations to this growth is the disadvantages of traditional wireless communication System due to the limitations of available frequency resources, Bandwidth, channel capacity, complexity, reliability, transmission data rate and physical areas. This paper addresses the overview of new technology Multi-Input-Multi-Output (MIMO) for wireless Communication and Wireless Computer networking system will be much more efficient to meet the heavy demand of Wireless communication in available limited frequency resources. MIMO channel is frequency selective (multipath) and is known to boost channel capacity for high-data rate transmissions, low power implementation, sophisticated signal processing algorithm. The FPGA based coding techniques will reduce the size, complexity and increase the reliability of con...
IRJET-Comparative Performance of MIMO Channel Estimation Techniques
With the increase in wireless technological development, there is a need for innovative designed to integrate features such as high data rates, high quality of service and multimedia in the existing communication framework. In wireless systems, radio signals are corrupted due to fading, interference and noise. In order to handle the effects of fading and interference, modern systems employ various techniques including multi-antenna transceivers. Initially, multi-antenna systems were proposed only for point-point communication. MIMO system contain multiple input multiple output from m transmitters and n receivers. Using Multiple Input Multiple Output (MIMO) systems we can reduce the effect of fading and noise in the channel. Multiple signals are transmitted from different antennas at the transmitter using the same frequency and separated in space. Received signal in MIMO system is usually distorted by multipath fading. In order to recover the transmitted signal correctly, channel effect must be estimated and repaired at receiver. Various channel estimation techniques are employed in order to judge the physical effects of the medium present. Hence MIMO systems utilizes space multiplex by using array of antenna’s for enhancing the efficiency at particular utilized bandwidth. MIMO use multiple inputs multiple outputs from single channel. These systems defined by spectral diversity and spatial multiplexing. The aim of this paper is to design and implement of channel estimation method and modulation technique for MIMO system. In this project channel estimation techniques such as Zero forcing, Minimum Mean Square Error (MMSE) and Space Time Block Codes (Alamouti code) for MIMO system are implemented in Matlab using modulation techniques like BPSK and QPSK. These techniques are compared effectively to estimate the channel in MIMO Systems. Space Time Block Codes gives better performance in terms of bit error rate and signal to noise ratio.
DESIGN AND IMPLEMENTATION OF MIMOOFDM RECEIVER SECTION FOR WIRELESS COMMUNICATION
IAEME PUBLICATION, 2020
The widespread popularity of mobile phones, wireless communication and Computer networking added an exceptional growth to the telecommunication industry in recent years. This demand is constantly growing which needs the secure, robust and reliable connectivity. This growth is limited due to the limitations of available frequency resources, Bandwidth, channel capacity, complexity, reliability, transmission data rate, physical areas and communication channel between transmitter and receiver of traditional wireless communication system. Multi-Input-Multi-Output (MIMO) is an efficient Future Wireless system to meet the heavy demand of Wireless communication in available limited frequency resources. This paper address a Compatible advance MIMO-OFDM WLAN Receiver system with OFDM framed in WLAN standard to deal with data signals of BPSK/ QPSK/16QAM/64QAM/256QAM constellations with different forward error correcting codes in MIMO communication modes for establishing a robust wireless communication link. The Wireless communication system is designed for Xilinx family FPGA devices and the performance of MIMO is checked over SISO/MISO for compatibility, Data rate, BER, optimized resource utilization and reliability of communication link to handle the traffic of multiuser though multiple channels, to ensure the transmission and reception of quality signals even in the failure of any channel.