The Analysis of Chaos and Fractal Characteristic Based on The Observed Sea Clutter of S-Band Radar
S波段雷达实测海杂波混沌分形特性分析

The sea clutter of S-band radar shows nonlinearities and time variation of its spectrum. However, the spectrum analysis method cannot reflect the evolution of the sea clutter of S-band radar in time domain. Adopting the model of Fractional Brownian Motion (FBM), this paper deduces Hurst exponent for the first time based on the observed data. Furthermore, the fractal dimension of the S-band sea clutter is also deduced. Then the largest Lyapunov exponent is obtained by Rosenstein method, which proves its chaos and fractal characteristic. Finally, the computer simulation is processed and the results prove the validity and veracity of the conclusion proposed in this paper. This conclusion provides a new approach for target detection with the S-band sea radar.