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IMPLEMENTATION AND ANALYSIS BASED ON MIMO-OFDM IN TIME-VARYING CHANNELS USING IMAGE DENOISING

Uma Shankar Sharma

M.Tech (Digital Communication), RKDF College of Engineering, Bhopal Prof. Satyarth Tiwari

Dept. of Electronics Engineering, RKDF College of Engineering, Bhopal

Abstract - In the present correspondence world we are having uncommon changes in the organization identified with OFDM framework An OFDM framework manages various channels over which data are sent at various frequencies to gloat up transmission capacity effectiveness. In OFDM framework, a high-information rate channel can be isolated into number of N number of low information rate sub channels and every last sub direct can be balanced in various and differed sub-bearer. Those low information rate sub channels have band width not as much as that the lucidness transmission capacity of the channel. In an OFDM domain the info bit can be multiplexed into number of N image, every last with image time of T, and every image stream can be utilized to regulate the parallel sub bearers During correspondence an additional undesirable clam or signals run over with genuine flag because of any reason In this venture we have managed these commotion called AWGN in which at the recipient side Bit blunder rate is enhanced to recoup genuine picture that was sent from transmitter to beneficiary to accomplish this we have experienced different balance methods, for example, QAM BPSK QPSK and so forth These procedures were utilized for sound or video motions in OFDM however in this venture it has been accomplished for picture handling to recuperate unique picture Along with this IFFT and FFT channels are utilized at the transmitter and at the less than desirable end of OFDM framework.

1 INTRODUCTION

It is European standard for digital television broadcasting. DVB standards will have (DVB-S) for satellites, DVB-C for cables, DVB-T for terrestrial transmission and DVB-H for low-power handheld terminals. In them, DVB-T and DVB-H use OFDM ass the modulation scheme.

DVB-T receiver initial shipping in late- 1990 and now digital DVB-T programs are available in different countries. As the DAB system, DVB-T/Technology also take single-frequency networks country wide.

In addition to this DVB-T/Standards give several modes of operation that are used for large-scale SFN and high mobility receiving.

The core digital stream in DVB-T will be MPEG-2 transport stream that have one or more program streams. Each and every stream of multiplexing compressed video, audio and data signals.

The DVB-T standard can take a data rate of MPEG-2 high-definition TV (HDTV), it is up to 31 Mbps. In DVB-H, high-speed IP services as an improvement of mobile telecommunication networks are being provided. DVB standard has been allowed for integration with bi-direction data connections with other access technology, thus making interactive applications

between the viewers and the TV stations.

Phones are necessity to several billions of people in the globe. Working range from voice service to video and broadband data service and many more. The transformation from the second- generation, (2G) to the third-generation (3G), and then again to the fourth- generation (4G) mobile cellular communication systems. In 2G, the GSM systems are used as the European standard and CDMA One IS-95is taken in North America. Each of them provided digital voice services at 10 Kbps.

Afterwards, General Packet Radio Service and Enhanced Data rate for Global Evolution (EDGE) systems offers transmission rates of up to several hundreds of Kbps asan improvement of the GSM standard. Same as in, CDMA2000 1X modified the data transmission to 300 Kbps in North America.

1.1 Modes of Motivation

In frequency division multiplexing with image processing, the total bandwidth can be divided into number of number of overlapping frequency with sub channels.

Then sub channels modulated or modified

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with different symbol and then it is multiplexed. There is a guard band between each sub channels, so as to avoid peak average power ratio &inter symbol interference with AWGN. This resulted to inefficient way of utilizing the existing and width In [3] was proposed an idea to deal with wastefulness of spectrum by development of overlapping sub channels in frequency division multiplexing for image to avoid AWGN, these sub channels must be orthogonal to each other.

OFDM has proposed as the core technique for the fourth generation (4G) wireless communication system.

Currently, OFDM is being used in many wireless communication systems, such as Wireless Local Area Network (WLAN) systems, HIPERLAN2(High Performance Local Area Network), Digital Video Broadcasting (DVB) systems, Worldwide Interoperability for Microwave Access (WiMAX).

2 LITERATURE SURVEY

In [1] Patrick at.al. (2012). The different sources of errors in synchronizing an OFDM system have been proposed and their impact on the demodulated information symbol in the receiver has been investigated.

In [2] H. Meng,Y. L. Guan at.al coding Spreading, etc. an easy way is clipping but it provide degradation BER and distort the signal. Some more techniques are far better techniques than this but they need more information, so the transmission rate comes down on reducing AWGN, other aspect like complexity, transmission rate, BER, error correction etc. also is taken into consideration.

In [3] G. Avril, M. Tlich, at.al have done lots of work and researches on efficient OFDM transmission and AWGN reduction. It is worth mentioning that understanding the impulsive noise characteristics of electrical devices individually is essential from the communication aspect. In this respect, some results on noise characteristics of different electrical appliances They have proposed, some of them established various techniques to reduce the AWGN.

Other uses various schemes to create efficient sequences to minimize the AWGN

to minimum level with better error correction and reduced BER.

3 OFDM INTRODUCTION

In OFDM framework, a high-information rate channel can be isolated into number of N number of low information rate sub channels and every last sub direct can be adjusted in various and shifted sub- transporter. Those low information rate sub channels have data transmission not as much as that the soundness transfer speed of the channel. On doing this so every last sub channel have a level blurring and balance at the beneficiary is least sum intricacy. By picking an arrangement of (orthogonal) bearer frequencies of exceptional kind, high ghostly productivity can be acquired as a result of the spectra of the SCs covering, while on common impact among the SCs are maintained a strategic distance from.

In an OFDM situation the information bit can be multiplexed into number of N image, every last with image time of T, and every image stream can be utilized to regulate the parallel sub transporters. The sub transporters can be utilized as a part of this isolated by 1/NTs in recurrence space, so they are utilized as an orthogonal over (0, Ts).

3.1 Problems Associated In OFDM System

With respect to OFDM link, if transmitter and receiver frequency completely matches then it is only the sub carriers orthogonal. Any of frequency offset results within the AWGN. A real oscillator does not produce a carrier at absolutely one frequency, but a carrier which is phase modulated by random phase jitters. As a result the frequency, which is the time derivative concern with phase, is never constant and hence gives rise to level increase of AWGN in OFDM system.

3.2 OFDM System over Awgn Channel As discussed in chapter 2, OFDM technique would take the performance of wireless communication with respect to multimedia transmission. I have used a MATLAB program in order to transmit an image over AWGN and fading channels using OFDM. From the beginning in the first part of this section, I am likely to compare the result of the RGB image transmission with four different SNR. The

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system has implemented as explained in chapter 2. In this work I have used digital modulation technique and each subcarrier carries 2048bits during the transmission.

4 PROPOSED OFDM SYSTEM

This section aims to provide principal and theoretical background to digital modulation, and different digital band pass modulation techniques. This section will present the step by step results for the designed fundamental OFDM modem.

As depicted in Figure 4.1, the simplified OFDM transceiver is divided into three main sections of Transmitter, Channel and Receiver, results of which are presented below. Modulation/De- modulation, IFFT/FFT, CP insertion/

removal are the most important blocks in this simplified OFDM transceiver.

Fig. 4.1 OFDM Trans-Receiver In order to simulate this OFDM modem channel bandwidth of 1 MHz with 128subcarrier is being selected. In addition, symbol duration of 128 μs and guard interval of 20 μs have been chosen.

4.1 Digital Modulation

The process, in which digital symbols get transformed into signals or waveforms that are compatible with the channel characteristics, is known as the digital modulation. Two of the most common types of digital modulation are baseband modulation and band pass modulation. In the baseband modulation, waveforms mostly take the form of shaped pulses whereas in the band pass modulation the shaped pulses modulate as sinusoid called a carrier wave, or simply a carrier, out of which band pass modulation are

well known and often used for their important benefits in signal transmission .There exist other modulation schemes one of which is known as spread spectrum modulation. In this type of modulation schemes, the systems’

bandwidths are required to be greatly larger than the bandwidth required by the message (i.e. the minimum bandwidth).

Such class of modulation schemes is responsible for:

1. Separating the signals if more than one signal uses a single channel

2. Minimizing the effects of interferences

3. Placing a signal in a frequency band where it is required by the design

The digital band pass modulation techniques will be considered in this project.

5 SIMULATION OF TRANSMITTER The simulation of OFDM transmitter is discussed in this section, containing the step by step results and discussions. The architecture of this particular OFDM transmitter is depicted in Figure 5.1.

Fig. 5.1 OFDM Transmitter As portrayed and highlighted in Figure 5.1, the underlying stage preceding the genuine OFDM transmission is to transmit the created message, where this message could be either arbitrarily produced double esteems, sound, or carefully prepared picture. Reenactment of this part utilizes the consistently circulated pseudorandom numbers, by utilizing the "rand (m,n)" work which delivers a 1 by 2500 pseudorandom esteems, where2500 speak to the quantity of bits. Keeping in mind the end goal to deliver irregular double esteems, the already created values are required to be adjusted to their closest whole number esteem. This is accomplished by the

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utilization of "round" capacity, which produces 1 by 2500 bits (ones). Figure 5.1 delineates the irregular paired produced message. Note that the information message shown in Figure 5.1 and the accompanying figures exhibiting a yield for each square, is just piece of the full message, and there fore just gives a sign of 12 bits out of 2500 bits. The center of the OFDM transmitter is the modulator, which balances the info information stream outline by outline. Information is separated into outlines in view of the variable image per outline, which alludes to the quantity of images per outline per transporter. It is characterized by:

symb_perframe = ceil(2^13/transporter tally). This restrains the aggregate number of images per outline (symb_perframe * transporter check) inside the interim of [2^13, 2*(2^13-1)], or [8192, 16382]. Be that as it may, the quantity of transporters commonly would not be substantially more prominent than 1000 in this recreation, therefore the aggregate number of images per edge would ordinarily be under 10,000. This is a tentatively sensible number of images that one edge should keep under for this MATLAB program to run effectively;

consequently image per outline is characterized by the condition appeared previously. In the event that the aggregate number of images in an information stream to be transmitted is not as much as the aggregate number of images per outline, the information would not be isolated into outlines and would be regulated at the same time.

5.1 Simulation of Receiver

The simulation of OFDM receiver is discussed in this section, containing the step bystep results and discussions. The architecture of this particular OFDM receiver is depicted in Figure 5.2.

Fig. 5.2 Receiver

The OFDM beneficiary essentially does the turn around operation to its transmitter, where at first the monitor interim is recognized and after that expelled. Afterward, the FFT of every imagery at that point taken to locate the first transmitted range. The stage edge of every transmission transporter is then assessed and changed over back to the first transmitted information by demodulating they got stage. The reasonable information estimate got are then joined and re-arranged back to the first serial information stream.

As portrayed in Figure 5.1, the underlying stage for OFDM gathering is to get the yield motion from the channel, where the flag is adulterated with connected clamor inside the channel that should be evacuated. The got input flag to the OFDM collector, and expulsion of commotion is appeared in Figure 5.2.

5.1.1 System Configurations and Parameters

Table 5.1 Parameter Table

At the beginning of this simulation MATLAB program, a script file of dm_parametersmis invoked, which initializes all required OFDM parameters and program variables to start the simulation. Some variables are entered by the user.

5.2 Proposed Simulation Process in Matlab

Seven graphs are plotted during this OFDM simulation:

1. Magnitudes of OFDM carrier data on IFFT bins; since all magnitudes are ONE, what this plot really shows is how the carriers are spread out in the IFFT bins.

2. Phases translated from the OFDM data; In this graph, it’s easy to see that the original data has a number of possible levels equal to 2 raised to the power of symbol size.

Parameters Values Source image size 1200*1500

IFFT size 2048

Number of carriers 1024

Modulation methods BPSK QPSK QAM Peak power clipping 12db

Signal to noise ratio 9db

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3. Modulated time signal for one symbol period on one carrier +4 Modulated time signal for one symbol period on multiple (limiting to six) carriers.

4. Magnitudes of the received OFDM spectrum this is to be compared to the first graph.

5. Phases of the received OFDM spectrum this is to be compared to the second graph.

6. Polar plot of the received phases A successful OFDM transmission and reception should have this plot show the grouping of the received phases clearly into 2^symbol- sizeconstellations.

5.3 Picture Quality Versus Signal To Noise Ratio

Notwithstanding the transmission of bits (ones) and following the similar execution contemplates on the OFDM modem by methods for dissecting them utilizing distinctive strategies and situations which has so far been the subject of this part;

the following stages the transmission of a picture which will be considered in this segment.

Besides, this area will outline the work embraced so as to enhance the debasement execution of OFDM framework within the sight of high commotion in the channel.

The picture sent in OFDM framework in clamor channel. As it is represented in this table, the primary picture in the left-hand side segment is the first information picture, and the picture beside it is the dim scale picture of the first information picture. The dark scale picture is the picture to which the distinctive strategies, for example, the convolution encoding/translating, regulation/demodulation in the transmitter and collector will be connected. As it is shown in Table 5.1, in the same way as other computerized correspondence frameworks, the execution of this OFDM framework is just satisfactory, up to some basic channel commotion level. At the end of the day, if the clamor level is raised over that basic level, the execution of the framework bombs rapidly. Such matters may very influence the execution of the remote broadcast communications, where the drops in the flag may prompt lessening in

unwavering quality of the correspondence.

The upside of the right now planned OFDM framework is that, when the channel in half a high commotion condition, the framework yields a more awful picture quality as opposed to totally loosing the transmitted picture. This is delineated in the photos of Table 5with SNR estimation of 3 or 6 dB. This picture transmission through the boisterous channel has-been mimicked by utilizing the same MATLAB code concerning the bits transmission, where the flag to clamor proportion (SNR) of the channel is differed from 1dB to 20 dB, with the picture quality measured at 3 dB increases. In this OFDM framework, the FEC system was likewise utilized with the 64 - QAM balance strategy which delineate that:

5.4 Flow Chart of Matlab

5.4.1 Simulation on OFDM System

start

Input

image

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Fig. 5.3 OFDM Carriers on Designated IFFT Bins

Fig. 5.4 Phases of the OFDM Modulated Data

Fig. 5.5 OFDM Time Signal (One Symbol Period in One Carrier)

Fig. 5.6 Samples of OFDM Time Signals Over One Symbol Period

Fig. 5.7 Magnitude of Received OFDM Spectrum

Fig. 5.8 Phase of Receive OFDM Spectrum

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Fig. 5.9 Received Phases

Fig. 5.10 Image to be TX

Fig. 5.11 16-BPSK Received Image

Fig. 5.12 64-QPSK Received Image

Fig. 5.13 QAM Received Image 6 CONCLUSION

Research on the performance of different modulation types was accomplished by studying and examining 4-PSK, 4-FSK and 4-QAM, out of which PSK and QAM shown a better performance. The 4-PSK and 4-QAM modulation types are similarly simple to use and implement.

These modulation types have shown a high performance in communication system as they offer a lower data rates and are more robust in presence of noise.

It is also important to note that when faster data rates are required, 4-QAM becomes abettor option. In fact we can say this method of comparison between the different modulation types proved to be a useful method of testing these modulations.

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The results of comparison between different encoding techniques shown that

‘convolution channel soft encoding’ and

‘block channel soft encoding’ present excellent performance in comparison to the other channel encoding techniques.

Moreover, this comparison has also suggested that when the two encoding techniques are applied to BPSK modulation; it provides acceptable improvement in the OFDM system.

In conclusion to this the simulation results presented in this project suggest that BPSK and 4-QAM, are the most recommended modulation techniques (in both type and order) for their considerable performance. CCE-Soft and BCE-Soft are the best encoding techniques (in FEC type) for the best performance in case of error detection and correction.

In real sense, applying these techniques to the two modeled channels has proved very successful and will be accounted as a best approach for the transmission of message or image within a power line based communication system.

REFERENCES

1. Patrick J. Lang fled, Klaus Dostert. (2012).

OFDM system synchronization for power line communications. International Symposium on Power Line Communications (ISPLC). pp.

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2. H. Meng, Y. L. Guan and S. Chen. (April 2010). Modeling and Analysis of Noise Effects on Broadband Power-Line Communications.

IEEE Transactions On Power Delivery.

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3. G. Avril, M. Tlich, F. Moulin, A. Zeddam, F.

Nouvel. (2010). Time/ Frequency Analysis of Impulsive Noise on Poweline Channels.

International Symposium on Power Line Communications (ISPLC). pp.143 – 150 4. E.Yavuz, F. Kural, N. Coban, B. Ercan and M.

Safak. (2012). Modeling of power lines for digital communication. International Symposium on Power Line Communications (ISPLC). pp. 161 – 168

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13. L. Hanzo, L-L.Yang, E-L.Kuan and K. Yen.

(January 2003). Single- and Multi-Carrier DS-CDMA: Multi-User Detection, Space-Time Spreading, Synchronization, Networking and Standards. University of Southampton and Analogue Devices Ltd., Cambridge, UK: Wiley- Blackwell.

14. T. Pollet, M. van Bladel, and M. Moeneclaey.

(April 2007). BER sensitivity of OFDM systems to carrier frequency off set and wiener phase noise. IEEE Transactions on Communications,. Volume 43, pp. 191–193 15. H. Nikookar and R. Prasad. (October 2010).

On the sensitivity of multicarrier transmission over multipath channels to phase noise and frequency offset. In Proceedings of IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC’96). pp. 68–

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16. Wei Chen. (October 2005). Time- Frequency- Selective Channel Estimation of OFDM Systems, PhD thesis, Drexel University, October 2005, pp. 6-19.

17. Richard van Nee, Ramjee Prasad. (2000).

OFDM for wireless multimedia communications, Artech House Inc. pp. 33 – 55.

18. Chang R. W. (Dec. 1966). Synthesis of Band Limited Orthogonal Signals for Multichannel Data Transmission, Bell System Technical Journal, Volume. 45, pp. 1775-1796.

19. B.R. Saltzberg. (Dec. 1967). Performance of an efficient parallel data transmission system, IEEE Transactions on Communication, Volume 15, pp. 805 – 813.

20. R.R. Mosier and R.G. Clabaugh, (Jan. 1958.) A Bandwidth Efficient Binary Transmission System, IEEE Trans. Volume. 76, pp. 723 – 728.

21. Mr. Abhijit Palekar (Dec 2013) OFDM system Using FFT and IFFT. IJARCSSE Volume 3, Issue 12, December 2013.

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