Method for chaotic communication decoding under finite bandwidth condition

Abstract

The invention provides a method for chaotic communication decoding under a finite bandwidth condition. A signal can be decoded. According to the method, minimum values of a receiving time sequence are calculated to obtain a minimum value sequence map, whether a code element losing phenomenon happens or not and the moment of the code element losing phenomenon are determined according to time between two adjacent minimum values, a one-dimensional mapping phase diagram of continuous code elements is drawn, and the position of a lost code element in the phase diagram and the lost code element are determined according to the phase diagram and the positions of code elements before and after the lost code element. The method has the advantages that the dynamic characteristics of a receiving attractor can be changed when a channel has filter characteristics, all transmitted code elements cannot be acquired from received signals by the conventional method, while the losing moment of the lost code element and the lost code element can be obtained by the method provided by the invention, so that the problems caused to a communication terminal by the losing of the code elements are solved; and moreover, a low bit error rate can be obtained by adopting three-dimensional characteristic vectors of the code elements and a trained support vector machine.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a chaotic communication decoding method under the condition of limited channel bandwidth, in particular to a method for retrieving lost code elements caused by channel filtering and a method for determining the polarity of code elements. Background technique [0002] Chaos is a random-like behavior exhibited by deterministic systems. It has characteristics such as wide frequency spectrum and sensitivity to initial values. These characteristics are suitable for communication applications. Therefore, since it was proved that chaos can be controlled and synchronized in 1990, the use of chaos for communication applications Research continues to deepen. In 2005, "Nature" reported that chaotic optical fiber communication in Europe achieved a higher communication rate than existing methods, which marked that chaotic communication began to move from theoretical research to engineerin...

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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of communication failure by providing a method for retrieving the lost code elements caused by channel filtering for the decoding problem of digital communication using chaotic symbol sequences; meanwhile, it provides a three-dimensional information-based Code element polarity judgment method reduces bit error rate

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