implementations and results

13
1 Implementations and Results Investigation of Space Time Block Codes for the Multipath Modeled Powerline Communications Channel Ariadi Sulistyo Research Advisor by Mr. Anil Mengi, M.Sc. Chair: Prof. Dr.-ir. A.J. Han Vinck

Upload: kumiko

Post on 23-Feb-2016

35 views

Category:

Documents


0 download

DESCRIPTION

Investigation of Space Time Block Codes for the Multipath Modeled Powerline Communications Channel. Ariadi Sulistyo Research Advisor by Mr. Anil Mengi , M.Sc. Chair: Prof . Dr.- ir . A.J. Han Vinck. Implementations and Results. Alamouti Scheme. - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Implementations and Results

Ariadi Sulistyo 1

Implementations and Results

Investigation of Space Time Block Codes for the Multipath Modeled Powerline Communications Channel

Ariadi Sulistyo

Research Advisor by Mr. Anil Mengi, M.Sc.Chair: Prof. Dr.-ir. A.J. Han Vinck

Page 2: Implementations and Results

2

x1 x2

-x2* x1*Gc2

=

Alamouti SchemeAs a fundamental of STBC system, the Alamouti scheme should be considered.

PSTBC = PSISO

SISOAWGN-Rayleigh

SISO AWGN

STBC Tx=2 Rx=1 , AWGN-Rayleigh

STBC Tx=2 Rx=1 AWGN

STBC Tx=2 Rx=2 AWGN-Rayleigh

STBC Tx=2 Rx=2 AWGN

6.5 dB

6.5 dB

Page 3: Implementations and Results

3

Linear Combiner with PAM

0 dB

3 dB

SISO, AWCN

SISO, AWGNSTBC, AWGN

STBC, AWCN

SISOAWCN

STBCAWGN

SISOAWGN

STBCAWCN

7.5 dB

4 dB

Page 4: Implementations and Results

Ariadi Sulistyo 4

SISO AWGN

STBC,Repetition Codes

STBC,Linear Combiner

Repetition Codes in Matrix Block Code

SISO

STBC,Repetition Codes

STBC,Linear Combiner

Page 5: Implementations and Results

5

Repetition Coding using Single Phase Detector

STBCLinear Combiner

SISO

STBC Rep.Cod.

Page 6: Implementations and Results

6

Result : Adaptive Decoding

STBCLinear Combiner

SISO

STBC Rep.Cod.

AdaptiveDecoding

Page 7: Implementations and Results

7

Multipath Fading : Philipps Model With Guard Interval

SISO, GI=5STBC,GI=0

STBC,GI=5 SISO,GI=3

SISO GI=0

STBC,GI=3

Page 8: Implementations and Results

Ariadi Sulistyo 8

FEC : Convolutional Coding [177 133]

SISO,GI=0Uncoded

STBC,GI=0Uncoded

STBC,GI=5SISO,GI=0

STBCGI=5

SISOGI=5

SISOGI=5

STBCGI=5

17 dB20 dB

3 dB

Page 9: Implementations and Results

Ariadi Sulistyo 9

Conclusion

Because of independent correlation between channel in PLC, the orthogonality of matrix block codes are not needed. This leads to the matrix of repetition codes. If matrix of repetition codes are used, then combining time at the receiver can be reduced.

With the same signal power, performance of STBC Linear Combiner in PLC with the AWGN channel is the same as SISO.

Due to the AWCN and Flat Fading channels, the value of BER is depend on the signal to noise power ratio (SNR).

Repetition Coding with Single phase detector is better at low SNR (< 15 dB) than Linear combiner. Depending on Noise Margin and Received Signal Power, adaptive decoding is built. With the threshold = 10, best result is obtained

Page 10: Implementations and Results

Ariadi Sulistyo 10

Conclusion & Future Development

On a Philipps model, GI reduces the error rate.

Future Development in STBC

Coding side : Space Time Trellis Coding comparing to STBC Coding Gain and Diversity Gain

Concatenated FEC- STBC in Powerline channel

As the channel have only diversity gain maximum of three, to preserve about diversity, coding gain would be an alternative. combination between the STBC and FEC should be considered.

Blind Channel Estimation

Page 11: Implementations and Results

Ariadi Sulistyo 11

ReferencesS.M. Alamouti, "A Simple Transmit Diversity Scheme for Wireless Communication", IEEE Journal on Selected Areas In Communications, Vol. 16, pp. 1451-1458, October 1998.

V. Tarokh, H. Jafarkhani , and A.R. Calderbank, "Space Time Block Codes from Orthogonal Designs", IEEE Transactions on Information Theory, Vol. 45, No. 5, pp.1456-1467, July 1999.

C.L. Giovaneli, J. Yazdani, P. Farrell, B. Honary, "Application of Space-Time Diversity/Coding for Power Line Channels", Proceeding of International Symposium on Power-Line Communications and Its Applications 2002 (ISPLC 2002), pp. 101-105, March 2002.

C.L. Giovaneli, J. Yazdani, P. Farrell, B. Honary, "Improved Space-Time Coding Applications for Power Line Channels", Proceeding of International Symposium on Power-Line Communications and Its Applications 2003 (ISPLC 2003), pp. 50-55, March 2003.

A. Papaioannou, D. Papadopoulos, F.N. Pavlidou, "Performance of Space-Time Block Coding in Powerline and Satellite Communications", Journal of Communication and Information Systems, Vol. 20, No. 3, pp. 174-181, 2005.

Page 12: Implementations and Results

Ariadi Sulistyo 12

H. Philipps, "Modelling of Powerline Communication Channels", Proceeding of International Symposium on Power-Line Communications and Its Applications 1999 (ISPLC 1999), pp. 14-21, 1999.

J. G. Proakis, "Digital Communications", McGraw-Hill Companies Inc., New York, 4th edition, 2001.

S. Haykin, "Communication Systems", John Wiley & Sons, Inc., New Jersey, 4th edition, 2001.

K. D. Kammeyer, V.Kühn, "Matlab in der Nachrichtentechnik", J. Schlembach Fachverlag, Bremen, 2001.

L. Litwin, M. Pugel, "The Principles of OFDM", www.rfdesign.com, pp. 30-48, January 2001.

H. Jafarkhani, "Space-Time Coding, Theory and Practice", Cambridge University Press, New York, 1st edition, 2005.

References

Page 13: Implementations and Results

Ariadi Sulistyo 13

Thank you for your attention !