机构地区: 大连理工大学电子科学与技术学院
出 处: 《系统工程与电子技术》 2006年第7期941-945,共5页
摘 要: 针对传统方法对阵列信号处理所研究的噪声采用高斯分布的模型来进行描述,当噪声存在显著的尖峰时,不能得到满意结果的问题。利用稳定分布对实际中所遇到的具有较大脉冲特性的随机噪声进行建模,分析了共变在阵列信号处理中的不足,利用已有的矢量水听器模型建立一种水下目标定向系统,提出了一种基于分数阶相关的水下目标定向算法。仿真表明这种算法是一种在高斯和分数低阶α-稳定分布噪声条件下具有良好韧性的水下目标定向算法,相对共变而言,分数阶相关具有更宽的噪声特征指数范围,更适用于实际应用。 Conventional methods of array signal processing are based on Gaussian assumption, which can not lead to good performance. Alpha stable distribution can be the better model of the impulsive random processes in physical application. After introducing the fractional lower order statistics, including the covariation and the fractional order correlation (FOC), a new method of 2-D direction finding based on the fractional order correlation for underwater 2-D source localization using a vector hydrophones array under alpha-stable noise conditions is presented. Simulation experiments and analysis show that the proposed method is robust in a wide range of characteristic exponent values of stable distribution.