• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >A Noise Removal Method for Uniform Circular Arrays in Complex Underwater Noise Environments with Low SNR
【2h】

A Noise Removal Method for Uniform Circular Arrays in Complex Underwater Noise Environments with Low SNR

机译：低信噪比的复杂水下噪声环境中均匀圆形阵列的噪声消除方法

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Generally, many beamforming methods are derived under the assumption of white noise. In practice, the actual underwater ambient noise is complex. As a result, the noise removal capacity of the beamforming method may be deteriorated considerably. Furthermore, in underwater environment with extremely low signal-to-noise ratio (SNR), the performances of the beamforming method may be deteriorated. To tackle these problems, a noise removal method for uniform circular array (UCA) is proposed to remove the received noise and improve the SNR in complex noise environments with low SNR. First, the symmetrical noise sources are defined and the spatial correlation of the symmetrical noise sources is calculated. Then, based on the preceding results, the noise covariance matrix is decomposed into symmetrical and asymmetrical components. Analysis indicates that the symmetrical component only affect the real part of the noise covariance matrix. Consequently, the delay-and-sum (DAS) beamforming is performed by using the imaginary part of the covariance matrix to remove the symmetrical component. However, the noise removal method causes two problems. First, the proposed method produces a false target. Second, the proposed method would seriously suppress the signal when it is located in some directions. To solve the first problem, two methods to reconstruct the signal covariance matrix are presented: based on the estimation of signal variance and based on the constrained optimization algorithm. To solve the second problem, we can design the array configuration and select the suitable working frequency. Theoretical analysis and experimental results are included to demonstrate that the proposed methods are particularly effective in complex noise environments with low SNR. The proposed method can be extended to any array.
机译：通常，许多波束成形方法都是在白噪声的假设下得出的。实际上，实际的水下环境噪声是复杂的。结果，波束形成方法的噪声去除能力可能会大大降低。此外，在信噪比（SNR）极低的水下环境中，波束形成方法的性能可能会下降。为了解决这些问题，提出了一种用于均匀圆阵列（UCA）的噪声去除方法，以去除接收到的噪声并在低信噪比的复杂噪声环境中提高信噪比。首先，定义对称噪声源，并计算对称噪声源的空间相关性。然后，基于前面的结果，将噪声协方差矩阵分解为对称和不对称分量。分析表明，对称分量仅影响噪声协方差矩阵的实部。因此，通过使用协方差矩阵的虚部来去除对称分量，可以执行延迟和（DAS）波束成形。然而，噪声去除方法引起两个问题。首先，所提出的方法产生了错误的目标。其次，所提出的方法将严重地抑制信号位于某些方向时的情况。为了解决第一个问题，提出了两种重建信号协方差矩阵的方法：基于信号方差的估计和基于约束优化算法。为了解决第二个问题，我们可以设计阵列配置并选择合适的工作频率。包括理论分析和实验结果，以证明所提出的方法在低信噪比的复杂噪声环境中特别有效。所提出的方法可以扩展到任何数组。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号