Orthogonal Frequency Division Multiplexing (OFDM) has gained increased interest due to its robustness against multi-path interference and high spectrum efficiency. OFDM is a suitable candidate for high data rate transmission with forward error correction (FEC) methods over wireless channels. In this paper, the system throughput of a working OFDM system has been enhanced by channel coding technique like Reed Solomon code& Turbo Code. Forward Error Correcting codes are a new class of codes that can achieve exceptional error performance and energy efficiency at low signal-to-noise ratio. The simulation is made with the development of Models in the SIMULINK & computer program written in MATLAB source code on the random data under additive white Gaussian noise (AWGN) channel. The simulation results of estimated Bit error rate (BER) show that the implementation of RS code with ½ -rated under QPSK modulation technique is highly effective to combat inherent interference in the communication system.For decoding of Turbo code, MAP decoding algorithm is used. In case of Turbo code BER performance is substantially improved by increasing number of iterations used in the decoding process

1. M. K. Gupta, 2Vishwas Sharma “To Improve Bit error rate of turbo coded ofdm transmission over noisy channel” (2004-2009)
2. Md. Dulal Haque1, ShaikhEnayet Ullah2, and Md.Razu Ahmed3 Performance evaluation of a wireless Orthogonal Frequency Division Multiplexing system under various concatenated FEC channel-coding schemes (ICCIT 2008)
3. IEEE, Leonard J. Cimini, Jr., Fellow, IEEE, and Justin C.-I. Chuang, Fellow, IEEE Comparison of Convolutional and Turbo Codes for OFDM with Antenna Diversity in High-Bit-Rate Wireless Applications Lang Lin, IEEE COMMUNICATION LETTERS, VOL. 4, NO. 9, September 2000
4. Jin Young Kim, Member, IEEE Performance of OFDM/ CDMA system with turbo coding in a Multipath fading channel IEEE Transactions on Consumer Electronics, Vol. 45, No. 2, MAY 1999
5. Moon Fone (Kevin) Wong &MokhtarBoukli-Hacene Performance analysis of ofdwfhma hybrid System operation in ism band Polytechnic University 6 MetrotechCenter Brooklyn, New York, 11201
6. TomooOZEKIt, Masao NAKAGAWAt adaptive reed Solomon code allocation for wireless lan ICCS 2002
7. Yanxia Wang, Libo Yang and Lei Wei High Speed Turbo TCM Coded OFDM System for UWB Channels University of Central Florida Orlando, FL 32816
8. ArhanAadil, Shahzada Khayyam Nisar, Wajahat Abbas, AsimShahzad Reusable IP core for Forward Error Correcting Codes
9. International Journal of Basic & Applied Sciences IJBAS-IJENS Vol: 10 No: 01
10. M. K. Gupta, 2Vishwas Sharma “To Improve Bit error rate of turbo coded ofdm transmission over noisy channel” (2004-2009)
11. Md. Dulal Haque1, ShaikhEnayet Ullah2, and Md.Razu Ahmed3 Performance evaluation of a wireless Orthogonal Frequency Division Multiplexing system under various concatenated FEC channel-coding schemes (ICCIT 2008)
12. IEEE, Leonard J. Cimini, Jr., Fellow, IEEE, and Justin C.-I. Chuang, Fellow, IEEE Comparison of Convolutional and Turbo Codes for OFDM with Antenna Diversity in High-Bit-Rate Wireless Applications Lang Lin, IEEE COMMUNICATION LETTERS, VOL. 4, NO. 9, September 2000
13. Jin Young Kim, Member, IEEE Performance of OFDM/ CDMA system with turbo coding in a Multipath fading channel IEEE Transactions on Consumer Electronics, Vol. 45, No. 2, MAY 1999
14. Moon Fone (Kevin) Wong &MokhtarBoukli-Hacene Performance analysis of ofdwfhma hybrid System operation in ism band Polytechnic University 6 MetrotechCenter Brooklyn, New York, 11201
15. TomooOZEKIt, Masao NAKAGAWAt adaptive reed Solomon code allocation for wireless lan ICCS 2002
16. Yanxia Wang, Libo Yang and Lei Wei High Speed Turbo TCM Coded OFDM System for UWB Channels University of Central Florida Orlando, FL 32816
17. ArhanAadil, Shahzada Khayyam Nisar, Wajahat Abbas, AsimShahzad Reusable IP core for Forward Error Correcting Codes
18. International Journal of Basic & Applied Sciences IJBAS-IJENS Vol: 10 No: 01

OFDM System Channel Coding Techniques Reed Solomon Code Turbo Code Bit Error Rate (BER) And Additive White Gaussian Noise (AWGN)