Automatic recognition of underwater targets is one of the key techniques in modern passive sonar systems.
在现代被动声纳系统中，水下目标的自动识别是关键技术之一。
The research results can be applied to the passive sonar target recognition.
研究结果可以用于被动声呐目标识别。
A crucial issue in a passive sonar system is detection of the spectral lines.
在被动声纳系统中，线谱检测是一个至关重要的问题。
Detections of the spectral lines is an important issue in the passive sonar system.
在被动声纳系统中，线谱检测是一个至关重要的问题。
The propeller shaft frequency is one of the important target recognition features for passive sonar.
螺旋桨轴频是被动声纳极其重要的目标识别特征之一。
Satisfactory results could be obtained by using the model proposed here to classify passive sonar targets.
本模型被用于被动声纳目标分类，取得了较好的效果。
The traditional method of Kalman filter for passive sonar target track association is limited in practice.
传统的目标航迹关联方法卡尔曼滤波法在实际应用时有局限性。
Feature extraction of targets radiated-noise is the key technique of passive sonar target recognition system.
目标噪声特征提取是被动声纳目标识别系统的关键技术。
In the vector sensor array based passive sonar system, it is necessary to track multiple targets automatically.
在矢量阵被动声呐系统中，需要对多目标进行自动跟踪。
Along with the decreasing noise radiation of underwater vessels, it appears a big challenge to the passive sonar.
随着舰船噪声的降低，对被动声呐的检测性能提出了巨大的挑战。
The model of motive system is made in the light of measurements of target bearings, elevation and frequency by passive sonar.
首先以无源声呐对目标的方位角、俯仰角和频率测量为依据，建立动态系统模型。
The techniques of feature extraction, feature selection and design of classifier for passive sonar target recognition are reviewed.
文章对被动声纳目标识别的特征提取、特征选择和分类器设计方面进行了回顾。
Feature extraction of targets radiated noise and design of targets classifier are key issues of passive sonar target recognition system.
目标噪声特征提取和目标分类器设计是被动声纳目标识别系统的关键技术。
To improve the detection performance of passive sonar, present dissertation addresses the blind separation of underwater acoustic signals.
基于提高被动声纳的检测能力，对水声信号的盲源分离技术进行了探索性研究。
Feature extraction of targets radiated noise and design of targets classifier are key technique of passive sonar target recognition system.
目标噪声特征提取和目标分类器设计是被动声呐目标识别系统的关键技术。
Supported by a project, this thesis presents the technology about passive sonar display and signal detection in design of the sonar display console.
本文结合工程项目的需要，介绍了在设计被动声纳显示平台中所使用的信号检测技术和显示处理技术。
Only target bearings could be obtained from passive sonar in general, the typical method used to determine target motion parameters is the"n-bearings"method.
被动声纳观察目标一般只提供目标的方位，基于声纳方位解算目标要素的传统方法是纯方位解要素法。
Therefore, supergain hydrophone array, particularly the small-sized circular array, is very good for improving the detection performance of low frequency passive sonar.
由于超增益阵具有尺度小、空间增益高的特点，对于改进低频被动声纳的检测性能具有重要的意义。
The results of simulation suggest that this model is feasible and it can provide some reference to target-location algorithms for passive sonar-buoy to search submarines.
仿真结果表明该模型可行，能对被动式声纳浮标搜潜的目标定位提供算法依据。
By studying the principle of hearing system in identification of sound signal, a method of feature extraction for passive sonar target based on critical band spectrum energy is proposed.
利用被动声纳目标辐射噪声特征主要集中在低频部分的特点，结合听觉系统识别声音信号的原理，提出了一种被动声纳目标临界频带频谱能量的特征提取方法。
This paper focuses on the research of the system structure of the synthetic environment of the passive sonar and the modeling and simulation test of the underwater sound synthetic signal.
以水中运动目标为例，给出了水声环境下，合成信号、环境噪声、海洋声学的数学模型和合成环境系统仿真实验。
This paper focuses on the research of the system structure of the synthetic environment of the passive sonar and the modeling and simulation test of the underwater sound synthetic signal.
以水中运动目标为例，给出了水声环境下，合成信号、环境噪声、海洋声学的数学模型和合成环境系统仿真实验。
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