AI & ML
An Ultra-Low-Noise Tunable TIA in 45nm Silicon Photonics for Electro-Optical Ultrasound Data Acquisition
arXiv cs.SY0 views
arXiv:2611.08826v1 Announce Type: cross Abstract: This paper presents the design and experimental characterization of a 32-channel, WDM-compatible electronic-photonic receiver array fabricated in the GlobalFoundries 45nm monolithic silicon photonics process. Optimized for miniaturized, millimeter-scale electro-optical ultrasound data acquisition probes for broadband photo-acoustic imaging (PAI), the chip utilizes integrated micro-ring resonator (MRR) demultiplexers and photodiode (PD) arrays to decode multi-wavelength acoustic signals outside the body. This work focuses specifically on the comprehensive characterization of the receiver front-end, evaluating both the optical WDM filter bank and the transimpedance amplifier (TIA) performance. Monolithic co-integration minimizes critical photodiode-to-TIA interface parasitics. The TIA incorporates a DC-offset cancellation loop that compensates for photodiode-induced offset currents while providing tunable low-frequency cutoff control over a range of 30 kHz to 1.5 MHz. This tunability enables effective suppression of flicker noise and improves overall signal integrity. The front-end achieves the peak transimpedance gain of 144 dB$\Omega$ while maintaining an ultra-low input-referred noise current density of $1\text{ pA}/\sqrt{\text{Hz}}$, demonstrating a highly scalable architecture for high-sensitivity intravascular and endobronchial imaging.
Source:https://arxiv.org/abs/2611.08826PreviousSensing-Based Communication: A Non-Orthogonal Passive Reflection Framework for ISACNextFair Selection of Generalized Nash Equilibria: A Comparability Perspective
Related posts

The US is winning the AI race. Jensen Huang could have blown it
0The Verge
PSI is trying to make a business out of AI-driven scientific discovery
0TechCrunch
The Death of the Prompt: Why Autonomous Agents Are the Real Paradigm Shift in Python Development
0dev.to
Introducing Businesses in ChatGPT
0OpenAI Blog

AI Training Environments That Evolve to Target Each Agent’s Weaknesses
0HackerNoon
AI Writes the Code, but Senior Engineers Still Ship the Product
0HackerNoon