拖线阵目标左/右舷分辨技术研究(Ⅰ)——几何相移量模型

本文针对拖曳线列阵的目标左／右航模糊问题，介绍了一种将现有单元水听器改进为三元水听器组的模型，该模型利用的是目标信号到达三个水听器的相位不同而作相移波束形成，故称之为几何相移量模型。本文分析了该模型的分辨性能、并通过湖试，验证了理论分析的结果。     

Iterative algorithm of steered minimum variance and its application in weak targets detection

The steered covariance matrix (STCM) and its inverse matrix should be calculated in each beam for steered minimum variance (STMV). The inverse matrix needs complex computation and restricts its application in engineering. Combining the integration character of one-phase regressive filter with the iterative formula of inverse matrix, an STMV iterative algorithm is proposed. The computational cost of the iterative algorithm is reduced approximately to be 2/M times of the original one when there are M sensors, and is more advantaged for the realization of the algorithm in real time. Simulation results show that the STMV iterative algorithm can preserve the characters of STMV on high azimuth resolution and weak target detection while the computational cost reduced sharply. The analysis on sea trial data proves that the proposed algorithm can estimate each target’s azimuth even when the source powers differ in large scales or their bearings are very approximate.     

极短时间脉冲信号的检测方法研究

针对极短时间脉冲信号的检测问题,在无法借助于频域分析的情况下,阐述了两种检测方法.这两种方法均借助于对时域上背景噪声的统计,通过对局部信号能量与背景噪声的对比,检测出短时脉冲信号,并通过对两次试验数据的分析,验证了这两种方法的有效性.     

拖线阵目标左/右舷分辨技术研究(Ⅱ)——噪声相关性模型

本文给出了利用三元水听器组实现拖线阵目标左右舷分辨的噪声相关性模型,进行了理论分析和计算,通过对实验数据的处理和分析,验证了理论计算的结果,并将处理算法扩展到宽带情况。研究结果表明基于噪声相关性模型的三元水听器组是能够进行左右舷分辨的,并且算法简单,易于工程实现。     

极短时问脉冲信号的检测方法研究

针对极短时间脉冲信号的检测问题，在无法借助于频域分析的情况下，阐述了两种检测方法。这两种方法均借助于对时域上背景噪声的统计，通过对局部信号能量与背景噪声的对比，检测出短时脉冲信号，并通过对两次试验数据的分析，验证了这两种方法的有效性。