Convolution & Viterbi EN(DE)coders on OFDM hides, rides & conveys message — A Neural STEGO

Higher data rates and better Signal to Noise Ratio (SNR) are the key factors for contemporary broad-band applications of next generation wireless communications. Robustness to multipath effects impaired by the channel is the guaranteed motto of Orthogonal Frequency Division Multiplexing (OFDM). Forward Error Control Codes (FEC) like the Convolution encoder and the Viterbi decoders are used to enhance the system performance and provide reliable communication by ensuring error free signals. In this paper, we have made a maiden effort to decode and design Convolution codes in OFDM system for covert communication and have also trained the system using Artificial Neural Network (ANN) to achieve better Bit Error Rate (BER).