Presenting Channel Estimation Method to Reduce Errors on Encrypted Images Based on the Comparative Methods in OFDM Systems
The AES encryption algorithm is a modern pattern having the characteristics such as high speed and simplicity of software implementation. Despite having all the advantages brought by the encrypted data, they are more sensitive to noise than the normal data. Perhaps, one of the reasons for this to happen is the existence of consecutive cycles during the decrypting operation. Using the error correction coding may be suggested as one suggestion; however, using this method significantly increases the volume of data. In this paper, the authors multiply the received symbols by the adjustment coefficients. In order to find adjustment coefficient they need to estimate the channel. The smallest mean squares algorithm is an appropriate way for estimating the channel.