Signal Detecting Based on Chaos and Fractal
|School||Northwestern Polytechnical University|
|Course||Signal and Information Processing|
|Keywords||Withdrawn chaos Fractal Fractal dimension Detect Neyman - Pearson guidelines Ship Radiated Noise Echo State Space Reconstruction Wavelet Analysis Probability of false alarm Probability of detection|
This paper focuses on the theme of signal detection , focusing on Chaos and Fractals signal processing method and its applications in underwater acoustic signal processing , and Chaos and fractal signal processing method used in passive signal detection and active signal , respectively computer simulation , and achieved good results . The main work of this paper are as follows: 1 to study the chaotic characteristics of underwater acoustic signals . Through theoretical analysis and simulation results show that underwater acoustic signal to a certain extent on the character of chaos . 2 ship noise power spectrum has the characteristics of the decline in a certain number of decibels per octave , thus indicating that the ship noise is 1 / f signal ; same time , theoretical analysis, the ship noise is a fractional Brownian motion conclusion. The proposed detection method based on state space reconstruction , under the background of white noise of ship radiated noise detection , and achieved good results . Proposed signal detection method based on wavelet analysis , white noise background ship radiated noise detection , and its detection is better than the traditional energy detection method . 5, the signal detection method based on wavelet analysis applied to the detection of the echo signal in the 1 / f noise context and compared with the conventional matched filter detection effect .