Genetic Algorithm Based Optimizing Channel Equalization in OFDM using Alamouti Codes

  Kiranpreet Kaur,  R.S.Uppal,  Daljeet Singh Bajwa

OFDM is generally employed for communication system by reason of its high transmission rate, high spectral efficiency, low sensitivity to time synchronization errors and it is robust against inter symbol interference and fading caused by multipath propagation .despite of its merits, OFDM experiences from high PAPR. In traditional approach many PAPR reduction techniques like PTS, SLM and for improvement of performance parameter equalizers were proposed. But traditional approaches were not efficient and effectively. So, there is need to find out the new algorithm which much better than traditional techniques with less computational complexity ,less time consuming and much more efficient. In this paper we are proposed hybridization of reduction techniques. We used companding along with Clipping and filtration techniques. OFDM receiver equalizer (MMSE ) with Genetic Optimizing Algorithm are used for performance improvement. The performance parameters like BER,PSD and OUTAGE probability is improved using MMSE equalizer with Genetic optimizing algorithm of reduced PAPR Alamouti based OFDM signal.Moreover, Alamouti codes were used with orthogonal systems for achieving higher reliable information and PN Codes also used along with it because it has lesser error of probability and noise .The proposed system has lesser BER,PAPR,Outage probability and Better Power Spectral Density than the conventional system.

Keywords- OFDM,MMSE,Comapnding transform ,Clipping and Filtering,Genetic Algorithm,Alamouti and PN Codes.

Unique Identification Number - IJEDR1602206
Page Number(s) - 1172-1179
Pubished in - Volume 4 | Issue 2 | May 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Kiranpreet Kaur,  R.S.Uppal,  Daljeet Singh Bajwa,   "Genetic Algorithm Based Optimizing Channel Equalization in OFDM using Alamouti Codes", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.1172-1179, May 2016, Available at :http://www.ijedr.org/papers/IJEDR1602206.pdf