Abstract
In this paper a low power consuming 10 bit SAR ADC which is suitable for Biomedical applications is presented. It was designed with 180nm technology using cadence tool. SAR ADC is made of dynamic comparator, sample and hold circuit, SAR logic, and DAC block. The designed circuit works on a supply voltage of 1V. The proposed SAR design, with the use of dynamic comparator circuit will help to reduce power and even at the same time with the use of binary weighted CDAC also provides low power dissipation. In order to decide the next significant bit by the knowledge of previous bits the successive approximation algorithm runs over several clock cycles for analog to digital conversion. Power usage and complexity of the circuit is minimized by low conversion rate i.e permitting one clock for each bit in the proposed method.
Highlights
SAR ADC usually employs sample & hold, comparator, SAR logic, and capacitive DAC with multi-clock periods by permitting one clock for each bit for data conversion [1-15]
As the proposed design use the dynamic comparator that leads to low power consumption and simultaneously CDAC will reduce power
Number of clock pulses decides the fastness of SAR ADC
Summary
SAR ADC usually employs sample & hold, comparator, SAR logic, and capacitive DAC with multi-clock periods by permitting one clock for each bit for data conversion [1-15]. As the proposed design use the dynamic comparator that leads to low power consumption and simultaneously CDAC will reduce power. Number of clock pulses decides the fastness of SAR ADC. The design circuit uses minimum transistor size that helps to reduce leakage and switching power. Low power integrated circuits provide the headway for various portable and implantable bio scientific devices and biosensors to the market. Among different topologies, SAR ADC fits for many class applications as it consumes low power, simple, low complexity, reasonable speed and accountable for digitizing less frequency signals in addition to signal processing that in turn most suitable for bio scientific applications. The low frequency signals are physiological signals like electrical signals, muscular signals (monitoring EEG, ECG, EMG) which are generated by the human body, those are the signals that are amplified before passing through an ADC [1-7]
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