共查询到17条相似文献,搜索用时 183 毫秒
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为优化均匀圆形天线阵的辐射性能,利用矩量法对电抗加载偶极子均匀圆阵的波束形成进行了可行性分析,并设计了粗选与微扰结合的电抗加载值序列优化计算方法,以满足指定方向上波束形成的需求.仿真结果表明,电抗加载天线阵波束形成方法能有效在期望方向上形成具有较高增益与前后比的波束,且对阵半径与电抗加载值的误差具有一定的容错能力.该分... 相似文献
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水下近场声源被动定位中,为了使用少量阵元获得更高的分辨率,阵元为稀疏布置(阵元间距大于半波长).对于单个声源,利用Capon法可以精确获得该声源的位置.但对于多个声源,Capon法的定位精度将会降低,对多散射点的显示结果造成影响.针对此,提出了利用常规波束形成法和Capon法获得初步定位的基础上,再通过Banlett加权在各声源处进行波束置零以减少其相互之间的干扰,再取Bartlett波束形成器的输出结果的倒数来显示多个声源所处的位置.通过数值仿真对本文所提出的方法进行了验证. 相似文献
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为了提高矢量传感器阵列的方位估计性能,提出了一种基于空间域数据拟合的矢量阵多目标分辨算法,通过利用已知的空间域数据信息,构造出新的声压与振速的接收数据协方差矩阵,在多目标分辨能力上对经典MUSIC算法予以改进。理论分析和计算机仿真表明,在各向同性噪声场中,新算法在提高多目标分辨能力方面比传统方法更有效。 相似文献
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本文介绍一种船载多目标水声跟踪系统,它以多片TMS320C25DSP为核心采用并行处理技术,以达到对下快速目标实时准确定位的目的。 相似文献
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A new method that uses time-domain response data under random loading is proposed for detecting damage to the structural elements of offshore platforms. In our study, a time series model with a fitting order was first constructed using the time-domain of noise data. A sensitivity matrix consisting of the first differential of the autoregressive coefficients of the time series models with respect to the stiffness of structural elements was then obtained based on time-domain response data. Locations and severity of damage may then be estimated by solving the damage vector whose components express the degrees of damage to the structural elements. A unique aspect of this detection method is that it requires acceleration history data from only one or a few sensors. This makes it feasible for a limited array of sensors to obtain sufficient data. The efficiency and reliability of the proposed method was demonstrated by applying it to a simplified offshore platform with damage to one element. Numerical simulations show that the use of a few sensors' acceleration history data, when compared with recorded levels of noise, is capable of detecting damage efficiently. An increase in the number of sensors helps improve the diagnosis success rate. 相似文献
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针对海上船舶雷达在多目标跟踪过程中实时性较差和不能快速响应的问题,提出目前密集杂波情况下多目标跟踪中最为有效的数据关联算法——联合概率数据关联(Joint Probabilistic Data Association,JPDA)算法。为解决JPDA随着目标增多的情况会出现的组合“爆炸”及计算量较大导致跟踪实时性较差的问题,从分析联合概率数据关联确认矩阵着手,依据Hopfield神经网络在解决旅行商问题(Travelling Salesman Problem,TSP)时的思路,提出基于Hopfield神经网络联合概率数据关联(Hopfield Neural Network Joint Probability Data Association,H-JPDA)来改进联合概率数据关联算法,通过简化矩阵拆分过程,显著减少计算量,提高跟踪的实时性。基于上述改进的神经网络联合概率数据关联算法,通过MATLAB对多目标跟踪进行仿真,仿真结果表明该算法能提高跟踪的实时性和快速响应能力。 相似文献
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ZHANG Lan-yue YANG De-sen 《船舶与海洋工程学报》2006,5(3):41-45
1 Introduction1 The Min-Norm(MN) algorithm was proposed by Kumaresan and Tufts[1] for estimating the DOA of targets applied at pressure sensor arrays. It has been proved that lower bias and higher resolution of DOA estimation using the MN algorithm is obt… 相似文献