Blind Detection of Channel Parameters Using Combination of the Gaussian Elimination and Interleaving

Eavesdropping is a method to access the information. The eavesdropper needs some coding output parameters to access the information on an unspecified channel. Since there are various types of encoders to encode the message, considering a signal decoder for each encoder is not possible. So for retrieving the transmitted information, blind channel parameters detection is a good choice. Up to now various methods such as entropy, hamming weight, interleaving and Gaussian elimination have been proposed to detect blind parameters, but due to the high noise level, in long messages the algorithm has faced with high hardware complexity and accurate estimation. In the entropy method, the detection of parameters in long messages has a time complexity also in Gaussian elimination method we need to determine a threshold that is not reliable. the proposed method reduced the weaknesses of previous algorithms and this method guarantees some parameters estimation in the presence of different noises and its complexity is less than other algorithms. This algorithm is structurally composed of Gaussian elimination and interleaving algorithms. The proposed method well estimates the coded parameters in the presence of different noises.