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提出了基于高阶累积量的自适应动态线谱增强算法 ( Cumulant- Based Adaptive DynamicLine Enhancement,CBADLE) ,并对其原理进行了剖析。用水下某航行器线谱的实测数据 ,对水下航行器与水听器处于不同方位时水听器接收的线谱进行了动态仿真。结果表明 ,该算法在抑制高斯噪声、提高信噪比和收敛等方面的性能优于通常的自适应线谱增强算法。
A Cumulant-Based Adaptive Dynamic Linear Enhancement (CBADLE) algorithm based on higher-order cumulants is proposed and its principle is analyzed. Using the measured data of some aircraft underwater spectrum, the line spectra received by hydrophone when the underwater vehicle and hydrophone are in different azimuths are simulated dynamically. The results show that the proposed algorithm outperforms the conventional adaptive line spectrum enhancement algorithm in suppressing Gaussian noise, improving SNR and convergence.