Error Detection and Correction for ATM Technology

Abstract: In this paper, we develop Reed-Solomon (RS) detection and correction implementation to work in an ATM network. The investigating tool selected is MATLAB, a new method that utilizes Berlekamp Massey Algorithm (BMA) in Reed Solomon (RS) decoder to reduce complexity is proposed for error detection and correction. EBMA works with the individual coefficient of the polynomial instead of the entire polynomial as a whole, to correct efficiently both errors and erasures. We have obtained an optimization in ATM network with Forward Error Correction (FEC) method. FEC corrects the corrupted data rather than retransmitting it again. We have evaluated the performance of the proposed method for the random integer, information, and speech signal. The results show that the errors have been detected and corrected successfully. To obtain best bit error rate, the proposed method has been evaluated for different code rates. To assess the performance of proposed method we have compared it with other well-known code techniques. The comparison results are given in terms of BER versus SNR (Signaled too Noised Ratio). The comparison results show that the proposed method is superior to others.

Keywords: Reed-Solomon (RS), Forward Error Correction (FEC), Berlekamp-Massy algorithm (BMA), Chien Search