Error performance analysis of forward error correction using convolutional encoding in the presence of (1/f) noise

Any communication scheme's principal goal is providing error-free data transmission. By increasing the rate at which could be transmitted through a channel and maintaining given error rate, this coding advantageous. The message bits to will gradually receive more thanks convolution (channel) encoder. At receiver end of channel, Viterbi decoder utilized in order extract original sequence from received data. Widely correction approaches systems for enhancement bit (BER) performance are decoding convolutional encoding. encoder constraints with lengths 2 6 rates 1⁄2 1⁄3 shown study presence (1/f) noise. regarding encoding/hard decision forward (FEC) method affects simulation outcomes. findings demonstrate that BER as function signal noise ratio (SNR) acquired uncoded binary phase shift keying (BPSK) existence additive white Gaussian (AWGN) inferior use hard decoder.