Firstly the constraint conditions of static candidate target and noise candidate target enhance the anti-jamming ability .

在目标确认过程中增加了静止候选 点约束和 噪声候选点约束条件，增强了抗干扰性。

Local-linear-prediction analysis for underwater acoustic target radiated noise

水声 目标辐射 噪声的局部线性预测分析

EM-based Underwater Target Radiated Noise Model Parameters Estimation

基于EM算法的水下 目标辐射 噪声模型参数估计

Study on underwater target radiated noise modulated information extraction method

水中 目标辐射 噪声调制信息提取方法研究

The synchronous-clock distance measurement system for measuring under-water target noise

水下 目标 噪声测量中的同步钟测距超声波避撞预警系统的研究

Based on these analyses simulations on SAR point target noise jamming are made . The results show that the two models are effective .

最后，通过建立的干扰 噪声模型对点 目标进行了干扰验证，验证两种干扰噪声模型干扰的有效性。

For truly distinguishing target from noise a new method for the design of the filters is given by utilizing the numerical synthesis algorithm for restraining noise .

为了准确的识别 目标，提出一种基于数字综合算法的 干扰抑制滤波器方法。

The acoustic characteristics of the underwater target and the sea noise are discussed . The difference between the sea noise and the target noise is used to detect the target signal in the strong interference .

本文研究水中声目标的声特性，海洋环境噪声的声特性，充分利用海洋背景噪声和 运动 目标 噪声特性的差异，检测掩埋存强干扰背景中的目标信号。

The application of gray correlation analysis method in target recognition is deeply studied . The target recognition scheme based on gray correlation analysis is designed . The method and steps of gray correlation analysis of target noise are set up as the basis of gray target recognition .

深入研究了灰关联分析方法在目标识别中的应用，提出了基于灰关联分析的目标识别方案，给出了对 目标 声 信号进行灰关联分析的方法和步骤，并以此作为灰色目标识别的基础。

Design of Sonar Signal Simulation System Based on Target Noise

基于 目标 噪声的声纳信号仿真系统设计

By means of data reconstruction on the active threshold value of detailed coefficient the target of noise reduction has not only been achieved but also the characteristics information of data itself has been retained .

通过对细节系数作用域值重构数据，既达到了 降噪 的 目的，又保留了数据本身的特征信息。

First by using wavelet transform and multiresolution analyses the modulated envelop of underwater target radiated noise is extracted .

首先，利用小波变换和多分辨率分析理论，提取水下 目标辐射 噪声的调制包络；

Model for Extracting RPT Nonlinear Character of Ocean Target Noise

海洋 目标 噪声非线性RPT特征提取模型

In this paper on the basis of deeply analyzing the spectrum feature of the target noise a large quantity data of two sorts of target noise are simulated under the condition of different frequency departure depth and SNR .

本文还在深入分析了 目标 声场谱特征的基础上，分别建立了两类目标在不同频段、不同横距、不同深度及不同信噪比下的大量仿真数据。

The statistic distribution expressions of target and noise in2-dimensions domain were established .

推导出了 目标 和 噪声在二维投影空间中的分布公式。

The system of passive ranging SONAR makes use of the target noise received by the equipment which converts energy from one form to another to estimate the target distance .

被动测距声纳系统是利用换能器基阵接收的 目标 辐射（ 噪声）信号来估计目标距离。

The clutter suppression can play to get rid of background clutter furthest retain target and noise and it is a necessary part of achieving the detector .

而杂波抑制能起到最大限度地去除掉背景杂波，保留 目标 和 噪声 的 目的，是实现 目标检测与 跟踪的必要环节。

The mechanism of the produce of target noise its transmission characteristics in air and several main factors that influence the sound transmission are analyzed .

分析了低空 目标声 源的产生机理、 目标 辐射 噪声在大气中的传播特性以及影响其传播的几个主要因素。

Firstly a background estimation method based on small window and two dimension median filter is presented after detail analysis of the model of small infrared target noise and clutter .

首先分析了红外小 目标、 噪声及其杂波特性，提出了用小窗口的二维中值滤波进行背景估计；

Therefore by earnestly studying in the wavelet analysis method in view of the airborne target noise signal the article adopts the wavelet soft threshold value to eliminate noises obtains the satisfying effect .

因此本文在认真研究了小波分析方法的基础上，针对空中 目标 噪声信号，采取小波软阈值去噪方法，取得令人满意的效果。

A Method for Modulation Feature Extraction of Underwater Target Radiated Noise

一种水下 目标辐射 噪声调制特征提取方法

And underwater target radiated noise is a great sort of underwater acoustic signal .

而水中 目标辐射 噪声是水声信号中的一大类。

This is caused by the complexity of underwater target radiated noise and the variety condition of the sea .

这是由于水下 目标辐射 信号和海洋环境的复杂性、多变性造成的。

The Research on Localization Method using the Information of Frequency Domain of a Target Radiated Noise

利用 目标 噪声频域信息的定位方法研究

The modeling and simulation of Target noise field

目标 噪声场建模与仿真研究

Local-linear-prediction in phase space is performed for the underwater acoustic target radiated noise .

从动力学的观点，对水声 目标辐射 噪声进行相空间的局部线性预测。

According to the property of broadband target noise the thesis presents a method of DOA estimation for uniform round sonar arrays and introduces joint interpolation-filter-delay-extract method .

针对 目标 辐射 噪声的宽带特性，研究了基于均匀圆形声纳基阵的信号入射方位估计算法，并采用级联的插值-滤波-延时-抽取方法实现了该算法。

In order to solve the problem of the underwater target feature extraction and recognition this paper analyzed the frequency spectrum signature of the passive sonar target noise and proposed a kind of method to extract the object signature based on Welch power spectrum density estimation .

为解决被动声呐目标的特征提取与识别问题，通过对被动声呐 目标 噪声频谱特性的深入分析，给出了一种基于Welch谱估计的目标特征提取方法。

The characters of target and noise in screw image are analyzed using histogram equalization nonlinear transform and hybrid filter .

分析研究螺纹图像中 目标及 噪声的特点，采用了直方图均衡化、基于邻域的非线性变换和保持边缘的混合滤波器等算法进行处理， 达到了检测 目标增强的 目的。

Characteristic Extraction Method for Underwater Target Radiated Noise Based on Wavelet Transform

基于子波变换的水下 目标辐射 噪声特征提取方法