遇见数据集

FIR Channel Models for Ultrasound In-Body Communication using Scattering Gelatin Phantoms

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data.europa2023-07-24 更新2025-05-31 收录
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This dataset aims to enhance the design of an in-body communication system using ultrasound waves as an information carrier. To this end, we carried out channel impulse response (CIR) characterizations of custom-fabricated gelatin phantoms of rectangular geometries. The used transducers are mm-scale, omnidirectional, ~1MHz ultrasound transducers. The channel impulse responses are represented by least-squares fitting on a finite impulse response (FIR) model with 2000 taps sampled at 5MHz, capable of capturing an impulse response duration of 400us. The phantoms are characterized in two different scenarios: i) surrounded by an anechoic water tank (mimicking in-body communication), and ii) by the open air (mimicking on-body communication). Finally, to improve channel realism, a subset of phantoms have custom-inserted chicken bones. This dataset is also accessible on Github link

本数据集旨在优化以超声波为信息载体的体内通信系统设计。为此,我们针对定制加工的矩形几何构型明胶模体(gelatin phantoms)开展了信道冲激响应(channel impulse response, CIR)表征实验。本次实验采用的换能器为毫米级、全向型、中心频率约1MHz的超声波换能器。所获取的信道冲激响应通过对有限长单位冲激响应(finite impulse response, FIR)模型进行最小二乘拟合得到,该模型包含2000个抽头,采样率为5MHz,可覆盖400微秒的冲激响应时长。 我们在两种不同场景下对明胶模体进行表征:其一为置于消声水槽中(模拟体内通信场景),其二为暴露于开放空气中(模拟体上通信场景)。 为提升信道模拟的真实性,部分明胶模体中还植入了定制的鸡骨。 本数据集亦可通过Github链接获取。

创建时间:
2023-07-24
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