拖线阵海试数据的窄带PIC自适应处理与分析

Narrowband PIC adaptive Processing and analysis of the towed-line array sea trial data

本文介绍了对拖线阵海试数据进行窄带ＰＩＣ处理的方法。用梯度算法、协方差矩阵递归直接求逆算法和ＲＭＧＳＥＦ算法进行了窄带ＰＩＣ自适应处理。分析了学习曲线和输出平均功率波束图，进行了稳态计算和比较。表明ＲＭＧＳＥＦ算法是一种可用于多干扰波束、收敛快、抵消性能好、便于拖线阵声呐实现实时ＰＩＣ处理的最好算法。

This paper introduces the mathods processing towed-line array sea trial data with narrowbandPIC, the gradient algorithm, direct inversion of the sample covariance matrix recursive algorithm and RMGSEF algorithm, analyzes the learning curves and the output mean power beam pattens, compares thesealgorithm with the steady state calculation results. It is shown that the Performance of RMGSEF algorithm isoptimal at cancel and convergence, it is suitable for multiple interference beams and can make the towed-linearray sonar to achieve real time processing.