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

• Published in: 2013 International Conference on Computer Communication and Informatics pp. 1 - 5
• Main Authors: Praveenkumar, P., Nagadinesh, M., Lakshmi, P., Thenmozhi, K., Rayappan, J. B. B., Amirtharajan, R.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.01.2013
• Subjects: ANN; Bit error rate; Channels; Communication systems; Convolution; Convolutional codes; Decoding; Encoders; Errors; FEC; Information hiding; Learning theory; Neural networks; Neurons; OFDM; Orthogonal Frequency Division Multiplexing; Steganography; Viterbi algorithm
• ISBN: 1467329061; 9781467329064
• DOI: 10.1109/ICCCI.2013.6466295

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).