Analysis of the Passive Fragments Influence in Broadband Signals with Manipulated Information Entropy on the Data Transmission Reliability

Current methods of digitally processing communication signals, which are distorted in the computer systems communication channels, are often based on the use of amplitude, phase and spectral characteristics. Correlation methods are also used to ensure immunity. A common disadvantage of these methods is the need for significant computational cost. One of the partial solutions to the described problem may be to use the signals probabilistic characteristics, in particular information entropy. This approach is based on the representation of digital message bits to the corresponding fragments of broadband signals with manipulated information entropy. In fact, signals are formed on the basis of random processes with normal distribution of possible states. The use of passive fragments in such signals can reduce the energy cost of data transmission. When passing through a communication channel, passive fragments are filled with their own channel noise. As a result, the channel's own noise extends the number of possible signal amplitude states and can be used to improve the resolution. According to the results of studies, the dependence of the probability of distortion of the information message binary symbol on the normalized signal/noise ratio is obtained. It is shown that the use of passive fragments improves noise immunity by 3-4 dB within the normalized signal/noise ratio at the input from -5 dB to 14 dB. However, at 14 dB or more, noise immunity worsens. Thus, the main scope of the proposed method can be problematic channels with low signal/noise ratio.