混沌理论在水声信号检测中的应用研究

为解决微弱信号的检测,提出了一种基于混沌预测的水声信号检测模型。根据混沌系统的动力学特性,给出了这种检测模型的检验准则,通过对实际水声信号进行仿真,结果表明,信噪比为-17dB情况,检测模型仍具有较强的检测能力,同时验证了检验准则的有效性;如要检测信噪比更低的信号,则要提高信号预测的准确率。

Application of Chaotic Detection Technology to Underwater Acoustic Signals

After building up the prediction model,a signal detection model based on chaotic forecast theory is explored.An examination criterion is proposed firstly for the detection model.The detection model by the underwater acoustic signals has been simulated.The simulation results show that the detection model still had strong detection ability when the signal to noise ratio equals to-17dB,meanwhile,the validity of the model is verified,and the detection results indicates that the forecast error is smaller,the signal to noise ratio that can be examined is lower.