The Linearization Of Chaotic Spread Spectrum Communication System

As a new discipline, Chaos spread-spectrum communication has become a hotspot in the field of chaotic application research. In this paper, we focus on the characteristics of the chaotic spread spectrum signal in baseband, And do further research.in predistortion technology and anti-jamming technology with the minimum phase space volume properties of chaotic systems.The main research results and innovations of this paper are:(1)The first part focuses on the characteristics of the chaotic spread spectrum signal. this part mainly studied the most common chaotic map-logistic mapping,simulation results show that, relative to random noise, chaotic signal have the smallest volume of the phase space, and the characteristics is not affected by the basic modulation; Verify the chaotic signal has a positive Lyapunov exponent and Chaos mapping have one or more convergence point, and we should avoid these convergence points in Constructing the chaotic sequence.(2)The second part we discuss how to filter the narrowband interference with MPSV. we Study the tone interference suppression model, design a tone interference suppression filters based on two-stage dynamic algorithm tone interference.We let accept signal through an inverse filter, when the output signal has a minimum phase space volume, the interference filter coefficients consistent with the model. We did experiment with matlab simulation, when the input signal to noise ratio at the 0-15 db,the algorithm get about between 4-18 db gain.can be Better to filter out the interference signal tone.(3)In third part, we mainly research how to apply MPSV to predistortion technology. propose a MBPSV measure based on MPSV, which is applied to make it better in chaotic spread spectrum systems and its inverse system identification. The basic idea is to design a predistorter, when the output signal of the amplifier have the finite-dimensional phase space volume, the power amplifier nonlinear distortion is compensated by pre-predistortion. The output signal is linear witn the input. The simulation shows that the algorithm identification predistorter nonlinear distortion component is suppressed more than 11 dB.