通过新型硬件释放 Unlimited Sensing Framework 中的动态范围与分辨率
Unleashing Dynamic Range and Resolution in Unlimited Sensing Framework via Novel Hardware
AI总结：
本文提出一种低成本、基于积分器且无折叠率限制的模 ADC 硬件，以实现 USF 下的高动态范围信号捕获，实验显示动态范围提升 60 倍、ENOB 达 5 位、SINAD 提高 30 dB。
摘要：
基于 Shannon-Nyquist 方法、通过模数转换器（ADC）实现的传统数字化面临根本性限制。高动态范围（HDR）信号在实践中经常被削波或饱和。在固定比特预算下，人们必须在最小化量化噪声与容纳 HDR 输入之间作出选择。Unlimited Sensing Framework（USF）通过在模拟硬件中引入非线性折叠来消除饱和，从而产生模信号。对模信号进行量化或数字化可实现较低的量化噪声，因为模表示将 HDR 信号映射为低动态范围（LDR）样本。在 USF 背景下，本文的核心创新是一种新型、低成本、基于积分器的高效模 ADC 硬件实现，它不对折叠率施加限制，能够实现显著的 HDR 捕获。硬件实验证明了该设计的可行性，并展示了其在不同定量性能指标上的明显优势，包括捕获动态范围提升 60 倍的 HDR 信号、达到高达 5 位有效位数（ENOB），以及将信纳比（SINAD）提高 30 dB。
英文摘要：
Conventional digitization based on the Shannon-Nyquist method, implemented via analog-to-digital converters (ADCs), faces fundamental limitations. High-dynamic-range (HDR) signals often get clipped or saturated in practice. Given a fixed bit budget, one must choose between minimizing quantization noise or accommodating HDR inputs. The Unlimited Sensing Framework (USF) eliminates saturation by incorporating nonlinear folding in analog hardware, resulting in modulo signals. Quantizing or digitizing modulo signals enables low quantization noise as the modulo representation maps HDR signals into low-dynamic-range (LDR) samples. In the context of USF, the core innovation of this paper is a novel, low-cost, integrator-based efficient modulo ADC hardware implementation that imposes no restrictions on folding rates, enabling significantly HDR capture. The feasibility of this design is demonstrated by hardware experiments showcasing clear advantages across different quantitative performance metrics. These include capturing HDR signals with a 60-fold increase in dynamic range, achieving up to 5 Effective Number of Bits (ENOBs), and improving Signal-to-Noise and Distortion (SINAD) by 30 dB.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
