A low power low noise high accuracy sensor IC

I investigated the design and implementation of low power low noise and high accuracy sensor IC for recording neural activity and studying sleep and other behavior in small animals. The sensor IC can acquire 16 electrophysiology signals in mice. It consists of 16 amplifier channels, a digital control circuit and a 16-bit 500 KSps charge redistribution self-calibrating successive approximation analog-to-digital converter (ADC). Each channel includes programmable gains from 12 to 250, a 7K Hz low-pass 2nd-order Butterworth filter and a track and hold. The integrated noise from 1 Hz to 7K Hz is 2.5 μV for 0 V DC offset input, 3.76 μV for 0.3 V DC offset input and 5.3 μV for –0.3 V DC offset input. The power supply rejection ratios (PSRR) for VDD and VSS are 61 db and 51 db at 1K Hz. The +/-0.3 V DC input offset of each channel is cancelled with two 5-bit DACs controlling the positive input node of the 2nd gain stage and 3rd gain stage op-amps. Total power dissipation is 1.2 mW for each amplifier channel with a +/- 1.5 V power supply. The 16-bit 500 KSps ADC has an input range of 2 V, a resolution of 16 bits, 6.2 mW power consumption and operates with +/- 1.5 V power supplies. Simulations show a signal-to-noise ratio of 90 dB for an effective accuracy of 15 bits in v TSMC’s 0.25μ CMOS process. A novel interleaving architecture and an improved comparator design contribute to reducing the power while maintaining the accuracy and speed. The ADC is intended to digitize the amplified neurophysiological signals from the companion 16-amplifier-channel IC. The amplifier channel IC die area is 19 mm2 and the ADC die area is 7 mm2 in TSMC’s 0.25μ CMOS process

A low power and low signal 5-bit 25MS/s pipelined ADC for monolithic active pixel sensors

For CMOS monolithic active pixels sensor readout, we developed a 5 bit low power analog to digital converter using a pipelined architecture. A non-resetting sample and hold stage is included to amplify the signal by a factor of 4. Due to the very low level of the incoming signal, this first stage compensates both the amplifier offset effect and the input common mode voltage dispersion. The converter consists of three 1.5 bit sub-ADC and a 2 bit flash. We present the results of a prototype, made of eight ADC channels. The maximum sampling rate is 25MS/s. The total DC power consumption is 1.7mW/channel on a 3.3V supply voltage recommended for the process. But at a reduced 2.5V supply, it consumes only 1.3mW. The size of each ADC channel layout is only 43μm*1.43mm. This corresponds to the pitch of two pixel columns each one would be 20μm wide. The full analog part of the converter can be quickly switched to a standby idle mode in less than 1μs; thus reducing the power dissipation to a ratio better than 1/1000. This fast shutdown is very important for the ILC vertex detector as the total DC power dissipation becomes directly proportional to the low beam duty cycle

A 10-bit Charge-Redistribution ADC Consuming 1.9 μW at 1 MS/s

This paper presents a 10 bit successive approximation ADC in 65 nm CMOS that benefits from technology scaling. It meets extremely low power requirements by using a charge-redistribution DAC that uses step-wise charging, a dynamic two-stage comparator and a delay-line-based controller. The ADC requires no external reference current and uses only one external supply voltage of 1.0 V to 1.3 V. Its supply current is proportional to the sample rate (only dynamic power consumption). The ADC uses a chip area of approximately 115--225 μm2. At a sample rate of 1 MS/s and a supply voltage of 1.0 V, the 10 bit ADC consumes 1.9 μW and achieves an energy efficiency of 4.4 fJ/conversion-step

A neural probe with up to 966 electrodes and up to 384 configurable channels in 0.13 μm SOI CMOS

In vivo recording of neural action-potential and local-field-potential signals requires the use of high-resolution penetrating probes. Several international initiatives to better understand the brain are driving technology efforts towards maximizing the number of recording sites while minimizing the neural probe dimensions. We designed and fabricated (0.13-μm SOI Al CMOS) a 384-channel configurable neural probe for large-scale in vivo recording of neural signals. Up to 966 selectable active electrodes were integrated along an implantable shank (70 μm wide, 10 mm long, 20 μm thick), achieving a crosstalk of −64.4 dB. The probe base (5 × 9 mm2) implements dual-band recording and a 1

Development of a 6-bit 15.625 MHz CMOS two-step flash analog-to-digital converter for a low dead time sub-nanosecond time measurement system

The development of a 6-bit 15.625 MHz CMOS two-step analog-to-digital converter (ADC) is presented. The ADC was developed for use in a low dead time, high-performance, sub-nanosecond time-to-digital converter (TDC). The TDC is part of a new custom CMOS application specific integrated circuit (ASIC) that will be incorporated in the next generation of front-end electronics for high-performance positron emission tomography imaging. The ADC is based upon a two-step flash architecture that reduces the comparator count by a factor-of-two when compared to a traditional flash ADC architecture and thus a significant reduction in area, power dissipation, and input capacitance of the converter is achieved. The converter contains time-interleaved auto-zeroed CMOS comparators. These comparators utilize offset correction in both the preamplifier and the subsequent regenerative latch stage to guarantee good integral and differential non-linearity performance of the converter over extreme process conditions. Also, digital error correction was employed to overcome most of the major metastability problems inherent in flash converters and to guarantee a completely monotonic transfer function. Corrected comparator offset measurements reveal that the CMOS comparator design maintains a worse case input-referred offset of less than 1 mV at conversion rates up to 8 MHz and less than a 2 mV offset at conversion rates as high as 16 MHz while dissipating less than 2.6 mW. Extensive laboratory measurements indicate that the ADC achieves differential and integral non-linearity performance of less than ±1/2 LSB with a 20 mV/LSB resolution. The ADC dissipates 90 mW from a single 5 V supply and occupies a die area of 1.97 mm x 1.13 mm in 0.8 μm CMOS technology

A 13-bit, 2.2-MS/s, 55-mW multibit cascade ΣΔ modulator in CMOS 0.7-μm single-poly technology

This paper presents a CMOS 0.7-μm ΣΔ modulator IC that achieves 13-bit dynamic range at 2.2 MS/s with an oversampling ratio of 16. It uses fully differential switched-capacitor circuits with a clock frequency of 35.2 MHz, and has a power consumption of 55 mW. Such a low oversampling ratio has been achieved through the combined usage of fourth-order filtering and multibit quantization. To guarantee stable operation for any input signal and/or initial condition, the fourth-order shaping function has been realized using a cascade architecture with three stages; the first stage is a second-order modulator, while the others are first-order modulators - referred to as a 2-1-1mb architecture. The quantizer of the last stage is 3 bits, while the other quantizers are single bit. The modulator architecture and coefficients have been optimized for reduced sensitivity to the errors in the 3-bit quantization process. Specifically, the 3-bit digital-to-analog converter tolerates 2.8% FS nonlinearity without significant degradation of the modulator performance. This makes the use of digital calibration unnecessary, which is a key point for reduced power consumption. We show that, for a given oversampling ratio and in the presence of 0.5% mismatch, the proposed modulator obtains a larger signal-to-noise-plus-distortion ratio than previous multibit cascade architectures. On the other hand, as compared to a 2-1-1single-bit modulator previously designed for a mixed-signal asymmetrical digital subscriber line modem in the same technology, the modulator in this paper obtains one more bit resolution, enhances the operating frequency by a factor of two, and reduces the power consumption by a factor of four.Comisión Interministerial de Ciencia y Tecnología TIC97-0580European Commission ESPRIT 879