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Fundamental Trade-Offs Between Power and Data Transfer in Inductive Links for Biomedical Implants

机译:生物医学植入物电感式链路中功率和数据传输之间的基本权衡

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This paper studies the fundamental trade-offs between power transfer efficiency (PTE) and spectral efficiency that occur during simultaneous power and data transfer through near-field inductive links. A mathematical analysis is used to establish the relationship between PTE and channel capacity as a function of link parameters such as coupling coefficient (amp;inline-formulaamp;amp;tex-math notation="LaTeX"amp;$k$amp;/tex-mathamp;amp;/inline-formulaamp;), load resistance, and surrounding environment. The analysis predicts that the optimum trade-off between power and data transfer is particularly dependent on amp;inline-formulaamp;amp;tex-math notation="LaTeX"amp;$k$amp;/tex-mathamp;amp;/inline-formulaamp;, which is a monotonically-decreasing function of axial distance (amp;inline-formulaamp;amp;tex-math notation="LaTeX"amp;$d$amp;/tex-mathamp;amp;/inline-formulaamp;) between the coils. Real-time adaptation of the link parameters (such as load resistance and modulation type) is proposed to automatically optimize the power-data trade-off over a wide range of distances and coupling coefficients. A bench-top prototype of such an adaptive link is demonstrated at a center frequency of 13.56?MHz. The prototype uses an ultrasound transducer to measure amp;inline-formulaamp;amp;tex-math notation="LaTeX"amp;$d$amp;/tex-mathamp;amp;/inline-formulaamp; with accuracy amp;inline-formulaamp;amp;tex-math notation="LaTeX"amp;$amp; 0.1$amp;/tex-mathamp;amp;/inline-formulaamp;?mm, and uses this information to autonomously optimize both data rate (up to amp;inline-formulaamp;amp;tex-math notation="LaTeX"amp;$sim$amp;/tex-mathamp;amp;/inline-formulaamp;50?Mbps) and PTE (up to amp;inline-formulaamp;amp;tex-math notation="LaTeX"amp;$sim$amp;/tex-mathamp;amp;/inline-formulaamp;25) as the coil-coil distance varies within the 4-15?mm range.
机译:本文研究了在通过近场电感链路同时传输功率和数据期间功率传输效率 (PTE) 和频谱效率之间的基本权衡。数学分析用于建立PTE与信道容量之间的关系,作为链路参数的函数,例如耦合系数(inline-formulatex-math notation=“LaTeX”$k$/tex-math/inline-formula)、负载电阻和周围环境。该分析预测,功率和数据传输之间的最佳权衡特别依赖于 inline-formulatex-math notation=“LaTeX”$k$/tex-math/inline-formula,这是线圈之间轴向距离 (inline-formulatex-math notation=“LaTeX”$d$/tex-math/inline-formula) 的单调递减函数。该文提出对链路参数(如负载电阻和调制类型)的实时调整,以在很宽的距离和耦合系数范围内自动优化功率-数据权衡。在13.56?MHz的中心频率下演示了这种自适应链路的台式原型。该原型使用超声换能器测量 inline-formulatex-math notation=“LaTeX”$d$/tex-math/inline-formula精度为 inline-formulatex-math notation=“LaTeX”$ 0。1$/tex-math/inline-formula?mm,并使用此信息自主优化数据速率(最高可达 inline-formulatex-math notation=“LaTeX”$sim$/tex-math/inline-formula50?Mbps)和PTE(最高inline-formulatex-math notation=“LaTeX”$sim$/tex-math/inline-formula25%),因为线圈间距在4-15mm范围内变化。

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