The week's pick
Random Articles
Reseach Article
Channel Estimation Technique for STBC coded MIMO System with Multiple ANN Blocks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 50 - Number 13 |
| Year of Publication: 2012 |
| Authors: Parismita Gogoi, Kandarpa Kumar Sarma |
10.5120/7830-1018
|
Parismita Gogoi, Kandarpa Kumar Sarma . Channel Estimation Technique for STBC coded MIMO System with Multiple ANN Blocks. International Journal of Computer Applications. 50, 13 ( July 2012), 10-14. DOI=10.5120/7830-1018
Abstract
In this work, a channel estimation technique based on Artificial Neural Networks (ANN) has been proposed as an alternative to pilot based channel estimation technique for Space-Time Block Coded Multiple-Input Multiple-Output (STBC- MIMO) systems over Rayleigh fading channels. ANNs, due to their high degree of adaptability, can be used for modelling the nonlinear phenomenon of channel estimation and for decoding the degraded symbols over severely faded channel. Two different ANN structures, namely Multilayer Perceptron (MLP) and Recurrent Neural Networks (RNN) have been trained and tested extensively for estimating the channel in STBC- MIMO systems with Binary Phase Shift Keying (BPSK) modulation scheme. Simulated results in terms of Bit Error Rates (BER) vs. Signal to Noise Ratio (SNR) have been used to compare the effectiveness of the learning capability of the two ANN structures over wireless fading channel. RNN structures are found to outperform the MLP, both in terms of training performance and BER results and thus proving its nonlinear dynamic adaptive behaviour.
References
- T. S. Rappaport, 1997. Wireless Communications - Principles and Practice, Pearson Education.
- T. M. Duman and Ali Ghrayeb, 2007. "Coding for MIMO Communication System," John Wiley and sons.
- S. M. Alamouti, 1998. A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications, vol. 16, issue 8, pp. 1451-1458.
- V. Tarokh, N. Seshadri, and A. R. Calderbank, 1998. Space time codes for high data rate wireless communication: Performance analysis and code construction, IEEE Transactions on Information Theory, vol. 44, issue 2, pp. 744-765.
- V. Tarokh, H. Jafarkhani, and A. R. Calderbank. 1999. Space time block codes from orthogonal designs. IEEE transactions on Information Theory, vol. 45, issue 5, pp. 744- 765.
- K. Burse et. al. , 2010. Channel Equalization Using Neural Networks: A review. IEEE Transactions on Systems, Man, and Cybernetics- Part C: Applications and Reviews, vol. 40, No. 3, pp. 352-357.
- Siu, S. , Gibson, G. J. , & Cowan, C. F. N. 1990. Decision feedback equalization using neural network structures and performance comparison with standard architecture. Proceedings of the Institution of Electrical Engineers, 137(pt. 1), 221–225.
- Zhang, L. , & Zhang, X. 2007. MIMO channel estimation and equalization using three-layer neural network with feedback. Tsinghua Science and Technology, 12(6), 658–662.
- Ciffikli C. et. al. , 2009. Artificial neural network channel estimation based on levenberg-marquardt for OFDM systems, Wireless Personal Communication, vol. 51, pp. 221-229, DOI= 10. 1007/s11277-008-9639-2.
- Nawaz S. J. et. al. , 2009. Neural network based mimo-ofdm channel equalizer using comb-type pilot arrangement, International Conference on Future Computer and Communication, pp. 36-41.
- Kandarpa Kumar Sarma and Abhijit Mitra 2012, Modeling MIMO Channels using a Class of Complex Recurrent Neural Network Architectures, Elsevier International Journal of Electronics and Communications, vol. - 66, Issue 4, pp. 322-331.
- Kandarpa Kumar Sarma and Abhijit Mitra 2011, Estimation of MIMO Channels using Complex Time Delay Fully Recurrent Neural Network -In Proceedings of IEEE 2nd National Conference on Emerging Trends and Applications in Computer Science, Shillong, India.
- Kandarpa Kumar Sarma and Abhijit Mitra 2011, A Class of Recurrent Neural Network (RNN) Architectures with SOM for Estimating MIMO Channels, as part of Advances in Computing and Communications in Computer and Information Science, Springer-Verlag, Vol. - 192, Part 4, pp. 512-521, DOI: 10. 1007/978? 3 ? 642 ? 22720 – 254.
- S. Haykin, 1999, Neural networks: A comprehensive foundation, (2nd ed. ), prentice-hall.
- K. K. Sarma and A. Mitra 2012, Estimation of MIMO Wireless Channels Using Artificial Neural Networks, Book Chapter in Cross-disciplinary applications of artificial intelligence and pattern recognition: advancing technologies, DOI: 10. 4018/978-1-61350-429-1. ch026.
Index Terms
Keywords