Event-driven detection method based on pseudo-differential self-timed inverter-based incremental sigma-delta analogue-to-digital converter
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.