Experimental Study on Coexistence of a Spiking Neural Network and 77 GHz VCO on a Single Chip

Hendrik M. Lehmann, Cyprian Grassmann, Retro Brenner, V. Issakov
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Abstract

The third generation of artificial neural networks, the Spiking Neural Networks (SNN), becomes popular for numerous applications. However, a physical circuit-level SNN implementation and feasibility of its integration with millimeter-wave circuit blocks towards a system on chip (SoC) has not been reported yet A voltage-controlled oscillator (VCO) is the core element of FMCW radar transceivers and one of the most sensitive blocks in the system. This work evaluates empirically for the first time the potential interferences during concurrent operation of an SNN and a 77 GHz VCO integrated on the same chip. The coupling effects are investigated experimentally in time- and frequency-domain, particularly by phase noise measurements. The VCO exhibits a low phase noise of -100.25 dBc/Hz at an offset frequency of 1MHz from 77 GHz carrier, while the SNN activity is turned off. By an intentional triggering of the SNN, a significant impact on VCO is observed and the phase noise is deteriorated up to as much as -89.75 dBc/Hz at the same offset frequency. The circuit blocks are implemented on a testchip in a 130 nm BiCMOS technology.
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单片上脉冲神经网络与77 GHz VCO共存的实验研究
第三代人工神经网络,脉冲神经网络(SNN),在许多应用中变得流行。然而,物理电路级SNN的实现及其与毫米波电路块集成到片上系统(SoC)的可行性尚未有报道。压控振荡器(VCO)是FMCW雷达收发器的核心元件,也是系统中最敏感的模块之一。本文首次对集成在同一芯片上的SNN和77 GHz VCO并发运行时的潜在干扰进行了实证评估。在时域和频域,特别是通过相位噪声测量,对耦合效应进行了实验研究。在77 GHz载波偏移频率为1MHz时,VCO显示出-100.25 dBc/Hz的低相位噪声,而SNN活动被关闭。通过有意触发SNN,可以观察到对压控振荡器的显著影响,并且在相同的偏移频率下,相位噪声恶化至-89.75 dBc/Hz。电路模块在130纳米BiCMOS技术的测试芯片上实现。
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