Spurious effects reduction by the reconstruction of acoustic images from bispectrum

A. Trucco, C. Ottonello, Vittorio Murino
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Abstract

A method to improve the quality of acoustic images obtained by systems based on beamforming is described. The specific goal is to eliminate two additive spurious terms present in the beam signals. The first effect is due to side lobes and the second one is due to the nonlinear effects introduced by the modulus extractor present at the output of the beamformer. The relative importance of these two terms is assessed, showing that the term due to modulus extraction has a strong negative incidence on the final image quality. The Gaussian distribution of these spurious terms is discussed and verified in the case of punctiform scenes. Owing to the Gaussianity of the spurious terms, a method to eliminate them from the beam signals, based on higher order spectra analysis, is proposed, resulting in an evident image quality and reliability improvement.
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通过双谱重建声图像减少杂散效应
介绍了一种基于波束形成的提高系统声图像质量的方法。具体目标是消除光束信号中存在的两个加性杂散项。第一种影响是由于侧瓣,第二种影响是由于模量提取器在波束形成器输出端引入的非线性影响。评估了这两个项的相对重要性,表明由于模数提取的项对最终图像质量有很强的负相关。讨论并验证了这些伪项在点状场景下的高斯分布。由于杂散项的高斯性,提出了一种基于高阶谱分析的光束信号杂散项消除方法,使图像质量和可靠性得到明显改善。
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