...
首页> 外文期刊>IEEE Antennas and Wireless Propagation Letters >Fast Delay-Multiply-and-Sum Beamformer: Application to Confocal Microwave Imaging
【24h】

Fast Delay-Multiply-and-Sum Beamformer: Application to Confocal Microwave Imaging

机译:快速延迟 - 乘法和总和波束形成器:应用于共聚焦微波成像

获取原文
获取原文并翻译 | 示例
           

摘要

Confocal microwave imaging is a promising medical imaging method in which the quality and the speed of imaging depend on the used beamformer. The delay-multiply-and-sum (DMAS) is a potential alternative to the golden standard method delay-and-sum (DAS). The advantages of DMAS over DAS and some other common beamformers, e.g., finer resolution and higher contrast, have been demonstrated through many papers, and the main disadvantage of this method is its high computational complexity. This letter introduces fast DMAS (FDMAS) method, which offers the same linear computational complexity as DAS while maintaining the output similar to DMAS. FDMAS computes the output of DMAS using the first and the second moments of the observations. This letter mathematically proves the equality between the proposed method and DMAS, and also demonstrates the equality of these methods' results using real random values and experimental complex data. Moreover, the lower computational load order of the proposed method in comparison to the DMAS is shown. As a conclusion, the FDMAS technique provides the advantages of DMAS without encountering the computational complexity issue. It is noteworthy that the FDMAS is an iterative method and thereby can update the results by adding new observations without carrying out any unnecessary computations.
机译:共聚焦微波成像是一种有希望的医学成像方法,其中质量和成像速度取决于所用的波束形成器。延迟乘法和总和(DMA)是金标准方法延迟和总和(DAS)的潜在替代方案。通过许多论文证明了DAS和一些其他公共波束形成器,例如更精细的分辨率和更高的对比度的DAS的优点,并且该方法的主要缺点是其高计算复杂性。这封信介绍了快速DMA(FDMAS)方法,它提供与DAS相同的线性计算复杂度,同时保持类似于DMA的输出。 FDMAS使用观察的第一和第二矩计算DMA的输出。这封信在数学上证明了所提出的方法和DMA之间的平等,并且还使用真正随机值和实验复杂数据来演示这些方法的平等。此外,示出了与DMA相比的所提出的方法的较低计算负载顺序。作为结论,FDMA技术提供了DMA的优势,而无需遇到计算复杂性问题。值得注意的是,FDMAS是一种迭代方法,从而可以通过在不执行任何不必要的计算的情况下添加新的观察来更新结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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