Fig 1. Flow Chart for the Encoder

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MATLAB Simulation of the DVB-S Channel Coding and Decoding Tejas S. Chavan, V. S. Jadhav MAEER S Maharashtra Institute of Technology, Kothrud, Pune, India Department of Electronics & Telecommunication,Pune University, Pune, India Abstract - The paper deals with the Matlab implementation and simulation of channel coding and modulation of DVB-S (Digital Video Broadcasting Satellite). Transport stream multiplex adaptation and randomization for energy dispersal, outer coding and interleaving, inner coding and interleaving, constellation and mapping blocks of encoder and decoder are implemented. Channel encoder and decoder follow European Standard ETSI EN 300 748 for digital satellite television and provide utilization of different convolutional encoder code rates, inner modulation modes scheme for OFDM (Orthogonal Frequency Division Multiplexing). Keywords DVB-S, code rates, modulation schemes, OFDM. I. INTRODUCTION The DVB-S (Digital Video Broadcasting Satellite) is ETSI EN 300 748 standard of European digital television for the satellite transmission to fixed, portable and mobile receivers. The DVB-S Standard specifies the framing structure, channel coding and modulation for digital satellite broadcasting. The system is fully compatible with MPEG-2 coded TV signals ISO/IEC 13818 and has several similarities of channel coding with DVB-T (Digital Video Broadcasting Terrestrial) and DVB-C (Digital Video Broadcasting Cable) standards. II. METHODOLOGY The system is composed of functional blocks performing the adaptation of the baseband TV signals from the output of the MPEG-2 transport multiplexer to the satellite channel characteristics. The system input data stream is organized in fixed length 188 bytes MPEG-2 packets.[1][2] The following processes are applied to the data stream: 1) Transport Multiplex Adaptation and Randomization for Energy Dispersal; 2) Outer Coding (i.e. Reed-Solomon code); 3) Outer Interleaving (i.e Convolutional Interleaving); 4) Inner Coding (i.e. punctured convolutional code); 5) Inner Interleaving; 6) Mapping and Modulation Schemes; Fig 1. Flow Chart for the Encoder A. Energy Dispersal: The data of the input are randomized to ensure adequate binary transitions. The polynomial for the PRBS (Pseudo Random Binary Sequence) generator is equal to 1 + X14 + X15. To achieve energy dispersal, PRBS is first generated and then mixed with the data stream by means of an XOR (Exclusive OR) operation which breaks up long sequence of ones or zeros. If this energydispersed data stream is mixed again with the same PRBS at the receiving end, the dispersal is cancelled again. B. Outer Coding: The next stage contains the outer encoder, the Reed-Solomon FEC (Forward Error Correction). To obtain optimisation of the DVB-S system Reed Solomon(204,188) will be used. C. Outer Interleaving: An outer interleaver is a convolutional interleaver with interleaving depth of I = 15 and the block length is 255 1

bytes. Interleaving is realized by writing bytes into the matrix by columns and reading them out by rows. D. Inner Coding: The outer interleaver is followed by a convolutional encoder, with the basic code rate 1/2. The generator polynomials are G1 = 1 + X3 + X4 + X5 + X6 and G2 = 1 + X1 + X3 + X4 + X6. Possible puncturated code rates are, according to DVB specification, 2/3, 3/4, 5/6 and 7/8. E. Inner Interleaving: The inner interleaving is divided into two steps: bit and symbol interleaving. Both the bit-wise interleaving and the symbol interleaving processes are block-based.[3][4] F. Modulation Schemes: After previously mentioned FEC blocks, symbols from output inner interleaver are ready to modulate into QPSK, 16QAM or 64QAM constellations. Matlab provides some cases for the modulation and demodulation. OFDM is implemented using DVB-S parameters. constituted by a set of K=1,705 carriers in the 2k mode and transmitted with a duration T S. A useful part with duration T U and a guard interval with a duration Δ compose T S.[4][5] III. RESULTS The simulation of the DVB-S system was carried out for different code rates. The code rates used are ½, 2/3, ¾, 5/6 and 7/8. The bit error rates(ber) at each stage were calculated and noted down. Different Modulation Error rates (MER) were also used. The MER used are 30dB, 24dB, 20dB, 17dB, 15dB and 13 db. BER1 denotes the error rate for QAM-64 demapping, BER2 denotes error rate for symbol deinterleaving, BER3 denotes error rate for inner interleaving, BER4 for inner decoding, BER5 for outer deinterleaving and BER6 for outer decoding. The following diagrams show the constellation mappings for QAM-64 for different MER and code rate of 2/3. a) 64-QAM symbols with MER = 30dB Fig 2. Flow Chart for the Decoder In an OFDM scheme, a large number of orthogonal, overlapping, narrow band sub-channels or subcarriers, transmitted in parallel, divide the available transmission bandwidth.[3] The simulations will focus in the 2k mode of the DVB-S standard. This particular mode is intended for mobile reception of standard definition DTV. The transmitted OFDM signal is organized in frames. Each frame has a duration of T F, and consists of 68 OFDM symbols. Four frames constitute one super-frame. Each symbol is b) 64- QAM symbols with MER = 24dB 2

c) 64- QAM symbols with MER=20dB f) 64-QAM symbols with MER=13dB The bit error rate(ber) at each stage was caclculated and plotted against the Modulation error rate used. d) 64-QAM symbols with MER=17dB a) BER vs MER for code rate=1/2 e) 64-QAM symbols with MER=15dB 3

b) BER vs MER for code rate=2/3. e) BER vs MER for code rate=7/8. IV. CONCLUSION c) BER vs MER for code rate=3/4. d) BER vs MER for code rate=5/6. The DVB-S system is successfully simulated using MATLAB. All major components of the DVB-S system are covered. Some of the challenges in developing this DVB-S simulation program were carefully matching steps in modulator and demodulator, keeping track of data format and data size throughout all the processes of the whole simulation, designing an appropriate frame detector for the receiver, and debugging the MATLAB codes. The DVB-S system is implemented for different Modulation error rates(mer) and code rates. The bit error rate(ber) was calculated at each stage and the graphs were plotted against MER for different code rates. As seen from the graphs, the BER increases for different code rates. As code rate increase, the BER also increases.the symbols for 64-QAM are also plotted for different MER. As seen from the plots, as MER increases the symbols get dispersed. Presented implementation of DVB-T channel coder and decoder and results of its simulation in Matlab are in general in accordance with assumptions of MER relation and error rates after corresponding error correction. However, simulated error rates are influenced by finite data length in opposite to continuous data stream in real digital television broadcast. REFERENCES [1] ETSI, Technical Specification 102 377, Digital Video Broadcasting (DVB); DVB-H Implementation Guidelines, v.1.4.1, 2009. [2] DVB-H Fact Sheet (2009-04). Broadcasting to Handhelds. 2 pages. [Online] Cited 2009-04-14. Available at: http://dvb-h.org/pdf/dvbh- fact-sheet.0409.pdf. [3] POLÁK, L. DVB-H and DVB-SH Digital TV Broadcasting Standards and their Characteristics 4

Comparison. In Sborník semináře o řešení doktorského projektu Grantové agentury České republiky č. 102/08/H027. Brno (Czech Republic), 2009, pp. 40-43. [4] BORKO, A., SYED, A. Handbook of Mobile Broadcasting, DVB-H, DMB, ISDB-T and MEDIAFLO. Taylor & Francis Group, LCC, 2008, 726 p., ISBN 978 1-4200 5386-9. [5] COLLINS, G. W. Fundamentals of Digital Television Transmission. New Jersey: John Wiley & Sons, Inc., 2001, 267 p., ISBN 0-47-39199-9. [6] FISHER, W. Digital Video and Audio Broadcasting Technology. A Practical Guide for Engineers. 2nd ed. Berlin: Springer Verlag, 2008, 586 p., ISBN 978-3-540-76358-1. [7] FARIA, G., HENRIKSSON, J.A., STARE, E., TALMOLA P. DVB-H: Digital Broadcast Services to Handheld Devices. Proc. IEEE, vol. 94, no. 1, pp. 194-209, Jan. 2006. [Online] Cited 2006-01. Available at: http://dvb-h.org/pdf/01566629_dvb- H.pdf. [8] PROAKIS, J., G., SALEHI, M. Contemporary Communication Systems using MATLAB. PWS Publishing Company, 1998, 427 p., ISBN 0-534-93804-3. 5