Open AccessEvent‐driven detection method based on pseudo‐differential self‐timed inverter‐based incremental sigma‐delta analogue‐to‐digital converter
Author(s) -
Xu Jiangtao,
Yin Zhaoyang,
Zeng Xinji,
Gao Zhiyuan,
Gao Jing
Publication year - 2017
Publication title -
iet circuits, devices and systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 49
eISSN - 1751-8598
pISSN - 1751-858X
DOI - 10.1049/iet-cds.2016.0270
Subject(s) - effective number of bits , delta sigma modulation , event (particle physics) , signal (programming language) , inverter , figure of merit , computer science , power (physics) , electronic engineering , control theory (sociology) , voltage , artificial intelligence , engineering , electrical engineering , physics , bandwidth (computing) , computer vision , cmos , telecommunications , control (management) , quantum mechanics , programming language
In this study, an event‐driven detection method based on pseudo‐differential self‐timed inverter‐based incremental sigma‐delta analogue‐to‐digital converter (IDC) is proposed and analysed, which is adapted for sparse signal measurement. A judgment module is implemented to detect whether the input signal of the measurement system is beyond a threshold or not. The input signal will be converted by the IDC only when it is beyond the threshold. A pseudo‐differential self‐timed inverter‐based IDC is also proposed in the event‐driven detection technique. The proposed event‐driven detection technique is designed and simulated with 1.5‐V supply voltage. The IDC achieves 12.8‐bit ENOB at 2‐KS/s conversion rate and consumes 45 μW. Its figure‐of‐merit is 3.1 pJ/step and input range is 0–2.4 V. The sparse signal measurement system with the proposed event‐driven detection method based on self‐timed IDC is implemented. The average power consumption of the system is related to the event ratio. With the event ratios of 10, 20 and 30%, its power consumption will be 30, 34 and 37 μW, respectively. The event‐driven detection method improves the power efficiency of the sparse signal measurement system.