This paper first reviews the evelopment history of robust detection theory and its applications in underwater acoustic signal processing , and then following the introduction of main features of ship - radiated noise and ambient noise 本文首先回顾了robust检测理论的发展过程以及目前在水声信号处理中的应用情况，然后概略分析了舰船辐射噪声和海洋背景噪声的特点。
In the research of multi - resolution direction - finding with vector transducers , two experimentations were done in examining the directionality and space relativity . we propose a method in processing multi - channel data with software using virtual instrumentation technology 利用面向对象的方法进行软件系统分析，采用mfc与windowsapi结合的方法进行软件开发，完成了多通道水声信号数据预处理软件的设计与开发，实现了对topwav文件的封装。
Applying volterra series to nonlinear dynamic system modeling of ship - radiated noise . the result shows that volterra series is suitable for modeling the ship - radiated noise . in the sense of volterra series model , the ship - radiated noise is chaotic , but contains periodic or pseudo - periodic signal in main part 通过对比舰船辐射噪声及其模型序列的功率谱，进一步说明volterra级数模型不仅能反映舰船辐射噪声的混炖性，办能反映舰船辐射噪声的周期性，是一个较为全面的模型，适合于舰船辐射噪声这类复杂水声信号的建模分析。
The characteristics of sa and ga are analyzed intensively , which involves search mode , the mathematical analysis and experimental aspects of the underlying processes in the algorithms , convergence discussion and detailed operation procedures . then the modified versions are presented . these new algorithms are mossa ( multiple operation structure sa ) , nga ( normalized ga ) and hga ( hybrid ga ) 在以上分析研究基础上，结合水声信号处理的特殊性，在第四章提出了多操作结构模拟退火算法( mossa ) ；第六章提出了改进的ga算法，如归一化遗传算法( nga ) ，变结构遗传算法和混合式优化算法等，并对其进行了基本性能分析评估。
In the study of environment model - based processing , the thesis presents a signal enhancement method based on combination of the ocean acoustic propagation , measurement system and noise models . furthermore , a signal enhancement algorithm is developed on the basis of the model - based identifer ( mbid ) implemented by the the augmented gauss - markov process and corrsponding extended kalman filter 本文通过了对模基信号处理实现信号增强的理论研究，提出了一种利用传播模型、噪声模型和阵测量模型、并注重环境信息来实现水声信号增强的方法，继而实现了基于增广高斯?马尔可夫过程和相应的扩展卡尔曼滤波联合的模基辨识器的信号增强算法。
Through the inspecting , the author selected three methods of eradiate noise ' s feature extraction . the methods include the pedigree , e - filter , fractal . in those methods , the pedigree is based on frequency field , the e - filter is based on the energy field and the fractal is based on time field 本文作者经过考察，采用了三种前期研究中较为有效的水下目标特征提取方法? ?基于功率谱估计的线谱特征提取方法、基于小波分析的不同频段内能量特征提取方法和基于水声信号分维特性的特征提取方法。
By analyzing and processing the underwater sound signals received on the array , we can get the parameters of ocean environment . compared with traditional methods of direct point measurement , ocean acoustic tomography has obvious advantages : much simpler and more effective , and it can continuously monitor ocean environment in a large area for a long time 海洋声层析技术通过分析处理水声接收基阵接收到的海洋信道中的水声信号来反演海洋环境参数，这种方法方便、高效并且可以进行长时间的大范围连续监测，与传统的直接测量的方法相比有明显的优势。
Second discusses adaptive filter ' s application in measuring frequency of cw sonar pulse signal and in towed linear array sonar signal processing . simulation is made about adaptive filter ' s application . simulation result shows that adaptive filter is very powerful tool for underwater acoustic signal processing 接下来本文讨论了自适应滤波器在cw声纳脉冲信号测频和拖曳线列阵声纳信号处理中的应用，并进行了仿真研究，仿真结果表明自适应滤波器是处理水声信号的十分有效的工具。
