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Performance improvement of fresnel beamforming using dual apodization with cross-correlation

机译:互相关双变迹法改善菲涅耳波束形成的性能

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Fresnel beamforming is a beamforming method that has a delay profile with a shape similar to a physical Fresnel lens. With 4 to 8 transmit channels, 2 receive channels, and a network of single-pole/single-throw switches, Fresnel beamforming can reduce the size, cost, and complexity of a beamformer. The performance of Fresnel beamforming is highly dependent on focal errors resulting from phase wraparound and quantization of its delay profile. Previously, we demonstrated that the performance of Fresnel beamforming relative to delayand- sum (DAS) beamforming is comparable for linear arrays at f-number = 2 and 50% bandwidth. However, focal errors for Fresnel beamforming are larger because of larger path length differences between elements, as in the case of curvilinear arrays compared with linear arrays. In this paper, we present the concept and performance evaluation of Fresnel beamforming combined with a novel clutter suppression method called dual apodization with cross-correlation (DAX) for curvilinear arrays. The contrast-to-noise ratios (CNRs) of Fresnel beamforming followed by DAX are highest at f-number = 3. At f-number = 3, the experimental results show that using DAX, the CNR for Fresnel beamforming improves from 3.7 to 10.6, compared with a CNR of 5.2 for DAS beamforming. Spatial resolution is shown to be unaffected by DAX. At f-number = 3, the lateral beamwidth and axial pulse length for Fresnel beamforming with DAX are 1.44 and 1.00 mm larger than those for DAS beamforming (about 14% and 21% larger), respectively. These experimental results are in good agreement with simulation results.
机译:菲涅耳波束成形是一种波束成形方法,其延迟轮廓的形状类似于物理菲涅耳透镜。菲涅耳波束成形具有4至8个发射通道,2个接收通道以及单刀单掷开关网络,可以减少波束形成器的尺寸,成本和复杂性。菲涅耳波束成形的性能高度依赖于相位环绕和延迟轮廓量化导致的聚焦误差。以前,我们证明了在f数= 2和带宽为50%的线性阵列中,菲涅耳波束成形相对于延迟总和(DAS)波束成形的性能相当。但是,菲涅耳波束形成的聚焦误差较大,这是因为元素之间的路径长度差异较大,与曲线阵列相比,与线性阵列相比,其误差更大。在本文中,我们提出了菲涅耳波束成形结合一种新颖的杂波抑制方法(称为双重切趾与互相关(DAX),用于曲线阵列)的概念和性能评估。在f数= 3时,菲涅耳波束成形和DAX的对比度噪声比(CNR)最高。在f数= 3时,实验结果表明,使用DAX,菲涅耳波束成形的CNR从3.7提高到10.6。 ,而DAS波束成形的CNR为5.2。显示空间分辨率不受DAX的影响。在f数= 3时,使用DAX的菲涅耳波束成形的横向波束宽度和轴向脉冲长度分别比DAS波束成形的横向波束宽度和轴向脉冲长度大1.44毫米和1.00毫米(分别大14%和21%)。这些实验结果与仿真结果非常吻合。

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