α稳态噪声条件下互谱算法的改进

Enhanced Algorithms of Cross Power Spectrum in α-stable Noise Environments

传统算法都是建立在高斯白噪声条件下,然而实际情况中经常会出现有脉冲特性的噪声,例如水下生物噪声、低频大气噪声等都具有显著的尖峰脉冲特性,α稳态噪声可以更好地描述实际环境中的噪声特性,传统互谱算法在α稳态噪声条件下性能明显下降,甚至到不能应用的程度,通过对传统互谱算法的改进,经过仿真得出改进算法较传统互谱算法的谱分析和时延估计在高斯噪声条件下具有相近的性能,在α稳态噪声条件下性能明显提高。

Traditional arithmetic are most based on Gaussian noise condition, while there is always pulse in the noise, such as biology noise under the water, low frequency atmosphere noise, α-stable noise can show this clearly. Traditional arithmetic cannot work well on this condition, traditional cross power spectrum is improved, two enhanced algorithms are given, and the result is that they all have nearly the same capability on Gaussian noise condition, while on the alpha stable noise condition ,the new arithmetic has obviously advance on spectrum analysis and time delay estimation.