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Design Of Analog Cmos Integrated Circuits

More than a decade of research in the field of thermal, motion, vibration and electromagnetic radiation energy harvesting has yielded increasing power output and smaller embodiments. Power management circuits for rectification and DC-DC conversion are becoming able to efficiently convert the power from these energy harvesters. This paper summarizes recent energy harvesting results and their power management circuits.

Micropower energy harvesting

Energy harvesting technologies have been explored by researchers for more than two decades as an alternative to conventional power sources (e.g. batteries) for small-sized and low-power electronic devices. The limited life-time and necessity for periodic recharging or replacement of batteries has been a consistent issue in portable, remote, and implantable devices. Ambient energy can usually be found in the form of solar energy, thermal energy, and vibration energy. Amongst these energy sources, vibration energy presents a persistent presence in nature and manmade structures. Various materials and transduction mechanisms have the ability to convert vibratory energy to useful electrical energy, such as piezoelectric, electromagnetic, and electrostatic generators. Piezoelectric transducers, with their inherent electromechanical coupling and high power density compared to electromagnetic and electrostatic transducers, have been widely explored to generate power from vibration energy sources. A topical review of piezoelectric energy harvesting methods was carried out and published in this journal by the authors in 2007. Since 2007, countless researchers have introduced novel materials, transduction mechanisms, electrical circuits, and analytical models to improve various aspects of piezoelectric energy harvesting devices. Additionally, many researchers have also reported novel applications of piezoelectric energy harvesting technology in the past decade. While the body of literature in the field of piezoelectric energy harvesting has grown significantly since 2007, this paper presents an update to the authors' previous review paper by summarizing the notable developments in the field of piezoelectric energy harvesting through the past decade.

https://iopscience.iop.org/article/10.1088/1361-665X/ab36e4/pdf

A review of energy harvesting using piezoelectric materials: state-of-the-art a decade later (2008–2018)

This paper presents a low-power precision instrumentation amplifier intended for use in wireless sensor nodes. It employs a capacitively-coupled chopper topology to achieve a rail-to-rail input common-mode range as well as high power efficiency. A positive feedback loop is employed to boost its input impedance, while a ripple reduction loop suppresses the chopping ripple. To facilitate bio-potential sensing, an optional DC servo loop may be employed to suppress electrode offset. The IA achieves 1 μV offset, 0.16% gain inaccuracy, 134 dB CMRR, 120 dB PSRR and a noise efficiency factor of 3.3. The instrumentation amplifier was implemented in a 65 nm CMOS technology. It occupies only 0.1 mm2 chip area (0.2 mm2 with the DC servo loop) and consumes 1.8 μA current (2.1 μA with the DC servo loop) from a 1 V supply.

A 1.8 $\mu$ W 60 nV $/\surd$ Hz Capacitively-Coupled Chopper Instrumentation Amplifier in 65 nm CMOS for Wireless Sensor Nodes

This paper presents an asynchronous SAR ADC for flexible, low energy radios. To achieve excellent power efficiency for a relatively moderate resolution, various techniques are introduced to reduce the power consumption: custom-designed 0.5 fF unit capacitors minimize the analog power consumption while asynchronous dynamic logic minimizes the digital power consumption. The variability of the custom-designed capacitors is estimated by a specialized CAD tool and verified by chip measurements. An implemented 8-bit prototype in a 90 nm CMOS technology occupies 228 μm × 240 μm including decoupling capacitors, and achieves an ENOB of 7.77 bit at a sampling frequency of 10.24 MS/s. The power consumption equals 26.3 μW from a 1 V supply, thus resulting in an energy efficiency of 12 fJ/conversion-step. Moreover, the fully dynamic design, which is optimized for low-leakage, leads to a standby power consumption of 6 nW. In that way, the energy efficiency of this converter can be maintained down to very low sampling rates.

A 26 $\mu$ W 8 bit 10 MS/s Asynchronous SAR ADC for Low Energy Radios

This paper presents a power-efficient 10/12 bit 40 kS/s SAR ADC for sensor applications. It supports resolutions of 10 and 12 bit and sample rates from DC up to 40 kS/s to accommodate a variety of sensor applications. A Data-Driven Noise-Reduction method is introduced to selectively enhance the comparator noise performance. In this way, a higher ADC resolution can be achieved with a small increase of the power consumption. A self-oscillating comparator is used to generate the bit-cycling clock internally. In this way, the ADC only requires an external clock at the sample-rate frequency. A segmented capacitive DAC with 250 aF unit elements is applied to save power and to reduce DNL errors at the same time. The implemented prototype in 65 nm CMOS occupies an area of 0.076 mm 2. For the two supported resolutions (10/12 bit), the ADC achieves an ENOB of 9.4 and 10.1 bit while consuming 72 and 97 nW from a 0.6 V supply at 40 kS/s. This leads to power efficiencies of 2.7 and 2.2 fJ/conversion-step for 10 bit and 12 bit resolution, respectively. Furthermore, the leakage power, which is below 0.4 nW, ensures that the efficiency can be maintained down to very low sample rates.

A 10b/12b 40 kS/s SAR ADC With Data-Driven Noise Reduction Achieving up to 10.1b ENOB at 2.2 fJ/Conversion-Step

An important drawback of current biopotential monitoring systems is their dependence on gel electrodes, which can dry out, cause skin irritation, and necessitate skilled personnel. These associated drawbacks increase the running costs and significantly hamper their use in consumer healthcare and lifestyle applications. Unfortunately, the use of gel-free, or dry, electrodes increases the electrode-tissue contact impedance, thus exacerbating the effects of interference and cable motion artifacts. A solution is the use of active electrodes, i.e. electrodes in which an amplifier with high input impedance, low noise and good electrode offset rejection is co-integrated (Fig. 17.1.1). Previous active electrodes employed voltage buffers to facilitate the inter-channel gain matching necessary to achieve high CMRR [1]. However, low-noise buffers consume significant power and due to their lack of gain still require a low-noise and thus power-hungry back-end to keep the total integrated noise at acceptable levels. To reduce the total power dissipation, this paper proposes a biopotential monitoring system based on active electrodes with gain.

A 160μW 8-channel active electrode system for EEG monitoring

This paper presents a multistandard ultra-low-power (ULP) 2.36/2.4GHz transceiver for personal and body-area networks (PAN/BAN). The presented radio complies with 3 short-range standards: Bluetooth Low Energy (BT-LE), IEEE802.15.4 (ZigBee) and IEEE802.15.6 (Medical Body-Area Networks, MBAN). A proprietary 2Mb/s mode is also implemented to support data-streaming applications like hearing aids. Current short-range radios for Zigbee and BT-LE typically consume more than 20mW DC power, which is rather high for autonomous systems with limited battery energy. The dual-mode MBAN/BT-LE transceiver achieves a power consumption of 6.5mW for the RX and 5.9mW for the TX by employing a sliding-IF RX and a polar TX architecture. However, it suffers from limited RX image rejection and needs a PA operating at a higher supply voltage. In this paper, an energy-efficient radio architecture with a suitable LO frequency plan is selected, and several efficiency-enhancement techniques for the critical RF circuits (e.g., a push-pull mixer and a digitally-assisted PA) are utilized. As a result, the presented transceiver dissipates only 3.8mW (RX) and 4.6mW (TX) DC power from a 1.2V supply, while exceeding all of the PHY requirements of above 3 standards.

A 1.9nJ/b 2.4GHz multistandard (Bluetooth Low Energy/Zigbee/IEEE802.15.6) transceiver for personal/body-area networks

Autonomous wireless sensor nodes for cloud networks require ultra-low-power electronics. In particular, sensor readout interfaces need low-speed high-precision ADCs for capturing, e.g., bio-potential signals, environmental information, or interactive multimedia. For these applications, state-of-the-art SAR ADCs can provide highly power-efficient solutions (<;10fJ/conversion-step) but with limited accuracy (SNDR <;63dB) [1,2]. Alternatively, ΔΣ ADCs offer higher precision at the cost of lower efficiency (e.g. 84dB SNDR with 54fJ/conversion-step [3]). This work bridges the existing performance gap by extending the accuracy of low-power SAR ADCs to SNDRs in the order of 70-to-80dB. Feedback-controlled data-driven noise reduction [1], oversampling, chopping [4] and dithering [5] techniques are combined to increase both SNR and linearity in a power-efficient way. Various ADC modes are supported by making these techniques individually programmable, thereby extending the application range.

Pieter Harpe

Papers

A 26 $\mu$ W 8 bit 10 MS/s Asynchronous SAR ADC for Low Energy Radios

A 10b/12b 40 kS/s SAR ADC With Data-Driven Noise Reduction Achieving up to 10.1b ENOB at 2.2 fJ/Conversion-Step

A 160μW 8-channel active electrode system for EEG monitoring

A 1.9nJ/b 2.4GHz multistandard (Bluetooth Low Energy/Zigbee/IEEE802.15.6) transceiver for personal/body-area networks

11.1 An oversampled 12/14b SAR ADC with noise reduction and linearity enhancements achieving up to 79.1dB SNDR