MSE and SER Compare For LS, MMSE and SMMSE for BCE Technique in OFDM

Divya Pandey*, K. Neelam Dewangan**
*PG Scholar, Department of Communication Engineering, Chhattisgarh Swami Vivekanand Technical University (CSVTU) Bhilai, Chhattisgarh.
**Department of Electronics and Telecomm, Chhatrapati Shivaji Institute of Technology, Durg Chhattisgarh, India.
Periodicity:May - July'2014
DOI : https://doi.org/10.26634/jcs.3.3.3178

Abstract

Orthogonal frequency division multiplexing (OFDM) technique is the modulation technique provides less bandwidth usage and speed communication and hence preferred in many areas now a days. Channel estimation techniques are used to know the behavior of the channel and then that information is further used by receiver to eliminate the irregularities introduced by channel on transmitted signal. This paper includes Block type pilot assisted channel estimation technique (BCE).least square (LS), minimum mean square error (MMSE) and simplified minimum mean square error (SMMSE) techniques are used here. SMMSE technique is simplified MMSE technique which is similar to MMSE but with reduced complexity. The results are obtained by using MATLAB software. Performance evaluation is done by comparing values of mean squared error (MSE) and symbol error rate (SER) for different values of SNR. Performance of LS in comparison with other two techniques is less. MMSE and SMMSE have almost same performance, seen from results.

Keywords

OFDM, MATLAB, LS, SMMSE, MMSE, SER, MSE, SNR, BCE.

How to Cite this Article?

Pandey, D., and Dewangan, K. N. (2014). MSE and SER Compare For LS, MMSE and SMMSE for BCE Technique in OFDM. i-manager’s Journal on Communication Engineering and Systems, 3(3), 14-21. https://doi.org/10.26634/jcs.3.3.3178

References

[1]. Bhoyar, D. B., & Niranjane, V. B. (2013). “Channel Estimation for MIMO-OFDM Systems”. International Journal of Engineering Research and Applications (IJERA), Vol.2, No.1, pp.044-050.
[2]. Beek, J. J., Edfors, O., Sandell, M., Wilson, S. K. & Borjesson, P. O. (1995). “On channel estimation in OFDM systems”. Chicago: IEEE 45th Vehicular Technology Conference, Vol.2, pp.815-819.
[3]. Coleri, S., Ergen, M., Puri, A., & Bahai, A. (2002). Channel Estimation Techniques Based on Pilot Arrangement in OFDM Systems”. IEEE transactions, Vol.3, pp.223-229.
[4]. Doukopoulos, G., & Moustakides, G. V. (2006). “Blind adaptive channel estimation in OFDM”. IEEE transaction on wireless communication. IEEE, Vol.5, No.7, pp.1716-1725.
[5]. Ergen, M., & Colreri, S. (2002). “A Survey On Channel Estimatin Techniques Based On Pilot Arrangement In OFDM System”. Paris, Vol.48, No.3, pp.223-229.
[6]. Ghauri1, S. A., Alam, S., Farhan, M. S., & Ali, A. (2013). “Implementation Of OFDM And Channel Estimation Using LS And MMSE Estimators”. International Journal of Computer and Electronics Research, Vol.2, No.1, pp.41- 46.
[7]. Geoffrey, Ye Li. (2000). “Pilot-Symbol-Aided Channel Estimation for OFDM in Wireless Systems”. IEEE, Vol.49, No.4.
[8]. Harris, F. (2004). “Orthogonal Frequency Division Multiplexing OFDM”. San Diego State University: Cubic Signal Processing Chair, Vehicular Technology Conference.
[9]. Khan, L. U., Khan, N., Khattak, M. I., & Shafi, M. (2014). “LS Estimator: Performance Analysis for Block-Type and Comb-Type Channel Estimation in OFDM System”. UET Peshawar: IEEE. pp.420-424.
[10]. Khan, L. U., Khan, G. M., Mahmud, S. A., & Sabir, Z. (2013). “Comparison of Three Interpolation Techniques in Comb-Type Pilot-Assisted Channel Coded OFDM System”. Advanced Information Networking and Applications Workshops (WAINA). 27th International Conference.
[11]. Khan, Md. N. I., & Alam, Md. J. (2014). “Efficient Scheme For Channel Estimation In OFDM”, Journal Of Networks. Academy Publisher, Vol.17, No.7, pp.1352-1355.
[12]. Kansal, L., Kansal, A., & Singh, K. (2011). “Performance Analysis of MIMO-OFDM System Using QOSTBC Code Structure for M-PSK”. Signal Processing: An International Journal (SPIJ). Vol.5, No.2, pp.19-32.
[13]. Liu, H., & Li, G. (2005). “OFDM-based Broadband Wireless Networks. Design and optimization”. New jersey ; John Wiley & sons. pp.251
[14]. Manasseh, E., Ohno, S., & Nakamoto, M. (2013). “Pilot symbol assisted channel estimation for OFDM-based cognitive radio systems”. EURASIP Journal on Advances in Signal Processing, pp.1-11.
[15]. Morelli, M., & Mengali, U. (2001). “A Comparison of Pilot Aided Channel Estimation Methods for OFDM Systems”. IEEE Transactions On Signal Processing, Vol.49, No.12, pp.3065-3073.
[16]. Prasad, R. (2004). “OFDM for wireless communication systems”. Universal Personal Communication Series.
[17]. Shen, Y., & Martinez, Ed. (2006, Proceedings of 2014). “Channel Estimation in OFDM Systems. Pakistan, Islamabad: Free scale Semiconductor”, AN3059 Inc. 11th International Bhurban Conference on Applied Sciences & Technology (IBCAST), pp.1-15.
[18]. Saleem, S., & Islam, Q. Ul. (2011). “Performance and Complexity Comparison of Channel Estimation Algorithms for OFDM System”. IJECS-IJENS, Vol.11, No.2, pp.6-11.
[19]. Song, B., Gui, L., & Zhang, W. (2006). “Comb type pilot aided channel estimation in OFDM systems with transmit diversity”. IEEE Transactions.
[20]. Xie, H., Guillaume, A., Wang, Y., Diouris, J. F., & Feng, S. (2011). “Robust threshold compressed sensing based sparse multipath channel estimation in OFDM system. Information”, Communications and Signal Processing (ICICS) 8th International Conference. pp.1-5.
[21]. Xiao, Y. (2003). “Orthogonal Frequency Division Multiplexing Modulation And Inter Carrier Interference Cancellation”. Dalian university of technology.
[22]. Yang, L., Ren, G., & Qiu, Z. (2010). “Novel noise reduction algorithm for LS channel estimation in OFDM system with frequency selective channels”. Communication Systems (ICCS): IEEE International Conference, pp.478-482.
[23]. Pandey, D., & Dewangan, N. (2014). “A Survey on Channel Estimation Techniques in OFDM System”. International Journal of Research in Computer and Communication technology.
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