Hopping Signal Prediction And Chaos Synchronization

With the rapid development of modern communication, people have increasingly strong desire for the quality of communication. It makes the usual fixed-frequency communication is seriously threatened. To ensure reliable communication between partners, a good anti-jamming communication system"frequency hopping communication system"comes into being. With a good kind of multiple access network and anti-jamming performance, the frequency hopping communication technology has not only been wildly used in military communications, such as the Joint Tactical Information Distribution System JTIDS, but also in our daylife, for example, Bluetooth, GSM, HomeRF, they all apply the frequency-hopping technology.At the same time, some researchers from nonlinear science have a significant discovery - chaos. This discovery has injected new blood and vitality into modern secure communication and other fields. Through the depth study into this phenomenon, thera are a lot of new nonlinear approach increasingly emerging. How to select the essence to its dregs, making the communication can get into a new development process, which has been developed It is worth further study.The main work of this paper is to study nonlinear processing in the application of modern communication, the specific work as following:1) First of all, this paper describes the development process of modern communication system and its improvements under increasingly complex environment. We make a brief introduction of the basic principle and structure about spread spectrum system, which has a good anti-jamming performance. And then, we also give a summery of the working principle and disturbances of the common frequency-hopping communication system.2) The primary treatment for non-linear is studied. Chaos, which is one of the important branch of the non-linear area, is made a detailed introduction. Meanwhile, we give a particular analysis of nonlinear methods about the parameters of chaotic system. In addition, we simulate the impact on chaotic phenomena with different parameters.3) This paper propose a method that analyze the common m sequence hopping frequence code with the phace space reconstruction used in the research of nonlinear. Due to m sequence showed a regular graphic phenomenon in the phase space, this paper have tried to find a m sequence polynomial reconstruction method through the phase graphical impact factors. In addition, a nonlinear prediction method is used to m hopping sequence. In this paper, we mainly use RBF neural network to predict, and analyze this model through theoretical analysis and simulation test.4) A variety of chaotic model is introduced, which is generated in chaotic communication systems. This paper researches two multi-step prediction methods on chaotic time sequence. First, the pros and cons of these two methods are theoretically analyzed. And we adopt the two prediction models to simulate on the above mentioned five chaotic models. After, the adaptive model is used to simulate on predicting the four chaotic models.5) The general anticipating response scheme is a unidirectionallly coupled dynamical system. In this paper, in order to achieve the inverse transformation of the signal transformation that the general anticipating response system realizes, a cascaded inverse system design method is presented for it. There is a function to be determined in the general anticipating response scheme. According to the chosen function, various specific coupled dynamical systems can be constructed. Accordingly, there is a corresponding function to be determined in the cascaded inverse system, which makes the structure of the inverse system change with the one of the general anticipating response system. In addition, this cascaded inverse system, together with the general anticipating response system, composes a lattice of continuous-time oscillators with three lattice elements. For this lattice, the first and the third elements oscillate completely synchronously while the second one anticipates them. By generalizing this lattice properly, lattices of continuous-time oscillators which have more lattice elements and exhibit richer dynamical behaviors can be constructed, so the work of this paper provides methods and models for constructing and studying lattices of continuous-time oscillators.