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Sound absorbing properties of spiral metasurfaces inspired by micro-perforated plates
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作者 Han Zhang Pengxiang hao +4 位作者 Huilan Wu Zhenyuan Lin chengpeng hao Zhengpan Qi Ning Hu 《Theoretical & Applied Mechanics Letters》 CAS CSCD 2023年第3期209-215,共7页
As a kind of classical low-frequency sound-absorbing material,the microperforated plate(MPP)has been widely used.Here,we inspired by the sound absorption mechanism of the MPP,a spiral metasurface(SM)is designed and th... As a kind of classical low-frequency sound-absorbing material,the microperforated plate(MPP)has been widely used.Here,we inspired by the sound absorption mechanism of the MPP,a spiral metasurface(SM)is designed and the analytical solution of acoustic impedance and sound absorption coefficient are obtained.The relationship between the sound absorption properties of the MPP and the SM with their own structures is systematically studied,and the analytical solutions are used to optimise the structure.It is concluded that the MPP and the SM of the same thickness achieve effective absorption in the frequency range between 390-900 Hz and 1920-4266 Hz,with a total thickness less than 1/6 of the wavelength.Meanwhile,the numerical calculation shows that the MPP and SM can match well with the background medium in the effective rang.Our study provides new insights into the design methods of sound-absorbing materials and is potentially suitable for many acoustic engineering applications. 展开更多
关键词 Microperforated plates Spiral metasurfaces Sound-absorbing properties Equivalent dispersion
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Blending Sensor Scheduling Strategy with Particle Filter to Track a Smart Target 被引量:6
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作者 Bin LIU Chunlin JI +1 位作者 Yangyang ZHANG chengpeng hao 《Wireless Sensor Network》 2009年第4期300-305,共6页
We discuss blending sensor scheduling strategies with particle filtering (PF) methods to deal with the prob-lem of tracking a ‘smart’ target, that is, a target being able to be aware it is being tracked and act in a... We discuss blending sensor scheduling strategies with particle filtering (PF) methods to deal with the prob-lem of tracking a ‘smart’ target, that is, a target being able to be aware it is being tracked and act in a manner that makes the future track more difficult. We concern here how to accurately track the target with a care on concealing the observer to a possible extent. We propose a PF method, which is tailored to mix a sensor scheduling technique, called covariance control, within its framework. A Rao-blackwellised unscented Kal-man filter (UKF) is used to produce proposal distributions for the PF method, making it more robust and computationally efficient. We show that the proposed method can balance the tracking filter performance with the observer’s concealment. 展开更多
关键词 PARTICLE Filter Sensor Scheduling SMART TARGET Tracking
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