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MUSIC-type imaging of small perfectly conducting cracks with an unknown frequency

机译:音乐型成像小完美导电裂缝,频率未知

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Multiple Signal Classification (MUSIC) is a famous non-iterative detection algorithm in inverse scattering problems. However, when the applied frequency is unknown, inaccurate locations are identified via MUSIC. This fact has been confirmed through numerical simulations. However, the reason behind this phenomenon has not been investigated theoretically. Motivated by this fact, we identify the structure of MUSIC-type imaging functionals with unknown frequency, by establishing a relationship with Bessel functions of order zero of the first kind. Through this, we can explain why inaccurate results appear.
机译:多个信号分类(音乐)是一种在逆散射问题中的着名非迭代检测算法。然而,当施加的频率未知时,通过音乐识别不准确的位置。这一事实已通过数值模拟确认。然而,理论上尚未在理论上进行这种现象背后的原因。通过这一事实,我们通过建立与第一类的订单零的贝塞尔函数建立关系,确定具有未知频率的音乐型成像功能的结构。通过这一点,我们可以解释为什么出现不准确的结果。

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