Abstract
The main aim of any communication schemes is to provide error-free data transmission. FEC (Forward error correction) processing in a receiver may be applied to a digital bit stream or in the demodulation of a digitally modulated carrier. Many FEC coders can generate a bit-error rate (BER). Convolutional encoding with Viterbi decoding is a good forward error correction technique suitable for channels affected by noise degradation. It’s considered as a technique that is widely used in communication systems to improve the bit error rate performance. The decoding of convoluational codes with the Viterbi algorithm has been used very successful on satellite and space channels where the channel is memoryless. This paper is concerned with the ½ Binary convolutional codes (BCC) in conjunction with Binary Phase Shift Keying (BPSK) modulation and maximum likelihood Viterbi decoding on Additive White Gaussian noise (AWGN) and Rayleigh channel. Applying the Viterbi algorithm with hard decision decoding comparison of Bit Error Rate versus Signal to Noise ratio in AWGN and Rayleigh channel is shown for memory or memory less condition.
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