共查询到19条相似文献,搜索用时 203 毫秒
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为了对混响干扰下的潜艇目标进行识别,提出一种尺度识别方法。该方法在建立混响条件下的潜艇回波亮点模型的基础上,利用自身多普勒抑制技术对潜艇回波进行混响抑制,然后采用高分辨的MUSIC算法,对潜艇目标亮点进行方位估计,从而实现目标的尺度识别。仿真结果表明,该方法具有很高的方位分辨率,能够很好地实现对潜艇目标的尺度识别,具有很强的实用性。 相似文献
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本文利用目标不同位置回波亮点的微多普勒差异,提出一种基于微多普勒差异的声自导鱼雷目标识别算法,该算法通过亮点之间的位置信息估计出亮点连线的倾角,然后利用各个亮点的径向速度和亮点连线的倾角估计出不同亮点对应的目标速度,最后利用各个亮点获取目标运动速度的一致性来识别潜艇与对抗器材。仿真结果表明,该方法在大部分攻击态势和攻击条件下均可有效识别目标,本方法可作为声自导鱼雷在近距离跟踪阶段传统识别方法的有效补充,从而进一步提高声自导鱼雷水下目标的识别概率和识别距离。 相似文献
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主动声纳探测水下目标时,目标散射特性以及水声传播特性会对接收回波产生影响.针对水中沉底与掩埋目标探测时存在的混响干扰强、信混比低等问题,本文提出了一种基于分数阶傅里叶变换(Fractional Fourier Transform,FRFT)的变频Duffing振子检测方法.在发射LFM信号探测水下目标时,目标回波信号为多个LFM信号线性叠加的形式,不符合Duffing振子的单频检测条件.基于FRFT理论,提出了在最佳FRFT域上对LFM回波信号进行傅里叶逆变换的解调频方法.并根据亮点模型,推导了多亮点LFM回波信号解调频后的信号形式.由理论分析可知,解调频后的单频信号数量与亮点数量一致,频率大小与亮点时延及发射信号参数有关,为未知参量.针对解调频后频率及数量未知这一问题,提出了变频Duffing振子系统检测模型,通过改变系统内置策动力频率,自主地搜索单频信号信息,实现了低信混比下LFM目标回波信号的检测及亮点数量的估计.湖试沉底及海试掩埋实验数据处理结果验证了方法的有效性及可行性. 相似文献
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一个复杂目标的回波可以等效成若干散射亮点回波叠加的结果。本文介绍了2种利用低频宽带信号获得目标亮点信息的方法。一种是以分数阶傅立叶变换为基础的亮点获取方法,该方法仅限于信号为线性调频脉冲的情况;另一种方法是采用对宽带回波信号频谱的二次谱分析的方法获得目标的亮点信息,对宽带信号的形式并没有限制。并给出了2种方法计算仿真和模型测试的结果。 相似文献
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The analysis and characteristic extraction of target echo characteristics are important in underwater target detection and recognition. Rigid acoustic scattering components are generally used as major echo contributors with relatively stable characteristic information. Previous studies focus on echo characteristics from a single angle, thereby limiting the amount of extracted characteristic information. This paper aims to establish a full-angle rigid echo components model and overcome the difficulty of the extraction of time delay characteristics of narrow-band acoustic scattering echoes. On the basis of the analysis of the target echo highlight model, the echo characteristics of rigid acoustic scattering components are extracted in the cepstrum domain, and a wavelet process is proposed to enhance the effect of time delay estimation. Experimental data indicate that the extracted time delay characteristics accord with the rigid echo characteristics of underwater target, thereby validating the effectiveness of the cepstrum method. 相似文献
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《船舶与海洋工程学报》2017,(2)
The analysis and characteristic extraction of target echo characteristics are important in underwater target detection and recognition. Rigid acoustic scattering components are generally used as major echo contributors with relatively stable characteristic information. Previous studies focus on echo characteristics from a single angle, thereby limiting the amount of extracted characteristic information. This paper aims to establish a full-angle rigid echo components model and overcome the difficulty of the extraction of time delay characteristics of narrow-band acoustic scattering echoes. On the basis of the analysis of the target echo highlight model, the echo characteristics of rigid acoustic scattering components are extracted in the cepstrum domain, and a wavelet process is proposed to enhance the effect of time delay estimation. Experimental data indicate that the extracted time delay characteristics accord with the rigid echo characteristics of underwater target, thereby validating the effectiveness of the cepstrum method. 相似文献
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《船舶与海洋工程学报》2015,(2)
In this paper, a new method based on morphologic research named reconstruction cross-component removal(RCCR) is developed to analyze geometrical scattering waves of an underwater target. Combining the origin of the cross-component in Wigner-Ville distribution, the highlight model of target echoes and time-frequency features of linear frequency-modulated signal can remove cross-components produced by multiple component signals in Wigner-Ville distribution and recover the auto-components of output signals. This method is used in experimental data processing, which can strengthen the real geometric highlights, and restrain the cross components. It is demonstrated that this method is helpful to analyze the geometrical scattering waves, providing an effective solution to underwater target detection and recognition. 相似文献
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The purpose of this study is to find proper modeling and optimization method for the underwater rotating technology used in floating non-traditional manufacture of FPSOs. The underwater rotating technology includes the block division in the FPSO bottom and the underwater rotating angle of the uncompleted bottom. The model contains many practical requirements, such as the size of the semi-submersible barge, the area required for drilling oil and gas, the mass of the unit area in the FPSO bottom, the lifting capacity of the factory and the operation space for workers. The model of the underwater technology in the paper would first minimize the number of the rings in the bottom, second minimize the number of the block in each ring, and finally find the maximum underwater rotating angle. The Sevan Driller FDSO manufactured by COSCO (Nantong) Shipyard Co., Ltd in China is employed as number examples in the paper, and the results show the model proposed in the paper is correct and valid, which could provide a theoretical basis for the promotion of floating non-traditional manufacture. 相似文献
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水下目标回声特征提取是主动目标识别的关键内容。本文提出将语音识别领域中较为成熟的RASTA-PLP听觉模型应用于水中目标回波的特征提取,并根据信号的特点对RASTA-PLP模型进行修正。对比应用PLP方法进行的水中目标单频回波识别实验,结果表明:当加入卷积噪声后,修正的RASTA-PLP特征表现出更加良好的鲁棒性能,在同等测试条件下识别率比PLP听觉模型特征高约3%,显示了本方法在实现目标回声自动识别上的重要应用前景。 相似文献