Jinwoo Choi, V. Govind, M. Swaminathan, K. Bharath
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引用次数: 39
摘要
提出了基于交流阻抗电磁带隙(AI-EBG)结构的配电网络(PDN)在混合信号系统中有效的噪声隔离和抑制方法。目前,在混合信号系统中,分离平面用于隔离敏感的射频/模拟电路和噪声的数字电路。然而,由于通过间隙的电磁耦合,分裂平面仅在低频时表现出良好的隔离。本文提出的基于AI-EBG结构的PDN通过抑制几乎所有可能的电磁模式,在感兴趣的频率范围内提供了良好的隔离(-80 dB ~ -100 dB)。AI-EBG结构已集成到混合信号测试车辆中,以验证可实现的隔离级别。本文对AI-EBG结构抑制开关噪声的能力进行了量化。AI-EBG结构在被动s参数测量中提供了大于100 dB的隔离,在功能测试中将带内噪声抑制到-88 dBm的隔离。
Noise Isolation in Mixed-Signal Systems Using Alternating Impedance Electromagnetic Bandgap (AI-EBG) Structure-Based Power Distribution Network (PDN)
This paper presents efficient noise isolation and suppression method in mixed-signal systems using alternating impedance electromagnetic bandgap (AI-EBG) structure-based power distribution network (PDN). Currently, split planes are used for isolation in mixed-signal systems for isolating sensitive RF/analog circuits from noisy digital circuits. However, split planes show good isolation only at low frequencies due to electromagnetic coupling through the gap. The AI-EBG structure-based PDN presented in this paper provides excellent isolation (-80 dB ~ -100 dB) in the frequency range of interest by suppressing almost all possible electromagnetic modes. The AI-EBG structure has been integrated into a mixed-signal test vehicle to demonstrate the isolation level achievable. The ability of the AI-EBG structure to suppress switching noise has been quantified in this paper. The AI-EBG structure provided greater than 100 dB of isolation in passive S-parameter measurement and suppressed in-band noise down to -88 dBm of isolation in a functional test.