3 research outputs found
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Power-Efficient Design Techniques and Architectures for Scalable Submicron Analog Circuits
As the CMOS process scales down to submicron, digital circuit performance improves, while reduced supply voltage and lower transistor intrinsic gain make it difficult to implement analog circuits in a power efficient manner. Therefore, it has become advantageous to shift more analog signal processing functions conventionally realized in voltage (analog) domain into utilizing charge or time as the variable that can be processed by mostly digital/passive circuits. In this thesis, both circuit-level techniques and architectures are proposed that are inherently compatible with transistor scaling in submicron CMOS, meanwhile achieving state-of-the-art performance and optimizing power efficiency. The first part focuses on a highly reconfigurable charge-domain switched-g[subscript m]-C biquad band-pass filter (BPF) topology that utilizes an interleaved semi-passive charge sharing technique. It uses only switches, capacitors, linearity-enhanced gm-stages and digital circuitry for a 3-phase non-overlapping clock scheme. Flexible tunability in both center frequency and -3dB bandwidth is achieved with a scaling-compatible implementation. A 4th-order BPF prototype operating at a 1.2GS/s sampling rate is designed with a cascade of two proposed biquads in a 65nm LPE CMOS process. A tunable center frequency of 35−70MHz is measured with programmable bandwidth and a maximum stop-band rejection of 72dB. The measured in-band IIP3 is +12.5dBm. The filter prototype consumes 7.5mW total power from a 1.2V supply voltage, and occupies a core area of 0.17mm². In the second part, a highly linear continuous-time low-pass filter (LPF) topology with source follower coupling is presented that achieves excellent power efficiency. It synthesizes a 3rd-order low-pass transfer function in a single stage using coupled source followers and three capacitors, and can be configured to 2nd-order by disconnecting a capacitor. A 5th-order Butterworth prototype is designed with a cascade of two proposed filter stages in a 0.18μm CMOS, and occupies a core area of 0.12mm². Operating with a 1.3V supply voltage, the filter consumes only 0.5mA current, and achieves a -3dB bandwidth of 20MHz with 82dB stop-band rejection. A total harmonic distortion (THD) of -39.5dB at the output is measured with a +6.6dBm (i.e. 1.35V[subscript pk-pk]) input signal at 2MHz. The measured in-band IIP3 is +28.8dBm. The dynamic range (at 1% THD) is 76.8dB, with 15.3nV/√Hz averaged in-band input-referred noise. A pseudo-differential-VCO based 2nd-order continuous-time ΔΣ ADC with a residue self-coupling technique is proposed and implemented with mostly digital circuits in the third part. Two VCOs are arranged in a pseudo-differential manner. The digital output is obtained by comparing the sampled output phase of one VCO with that of the other. Passive subtraction is realized in current domain to obtain the residue at the VCO input. The residue self-coupling is implemented using a linear 1st-order transconductance low-pass filter (TCLPF). Moreover, a highly linear VCO topology is presented. The transistor-level simulations in a 65nm CMOS process show a 78dB SNDR over a 10MHz signal bandwidth with a power consumption of 2.9mW, which is 16dB improvement in contrast to the case with the TCLPF block powered off
RF Amplification and Filtering Techniques for Cellular Receivers
The usage of various wireless standards, such as Bluetooth, Wi-Fi, GPS, and 4G/5G cellular, has been continually increasing. In order to utilize the frequency bands efficiently and to support new communication standards with lower power consumption, lower occupied volume and at reduced costs, multimode transceivers, software defined radios (SDRs), cognitive radios, etc., have been actively investigated. Broadband behavior of a wireless receiver is typically defined by its front-end low-noise amplifier (LNA), whose design must consider trade-offs between input matching, noise figure (NF), gain, bandwidth, linearity, and voltage headroom in a given process technology. Moreover, monolithic RF wireless receivers have been trending toward high intermediatefrequency (IF) or superhetrodyne radios thanks to recent breakthroughs in silicon integration of band-pass channel-select filters. The main motivation is to avoid the common issues in the currently predominant zero/low-IF receivers, such as poor 2nd-order nonlinearity, sensitivity to 1/f (i.e. flicker) noise and time-variant dc offsets, especially in the fine CMOS technology. To avoid interferers and blockers at the susceptible image frequencies that the high-IF entails, band-pass filters (BPF) with high quality (Q) factor components for sharp transfer-function transition characteristics are now required. In addition, integrated low-pass filters (LPF) with strong rejection of out-of-band frequency components are essential building blocks in a variety of applications, such as telecommunications, video signal processing, anti-aliasing filtering, etc. Attention is drawn toward structures featuring low noise, small area, high in-/out-of-band linearity performance, and low-power consumption. This thesis comprises three main parts. In the first part (Chapters 2 and 3), we focus on the design and implementation of several innovative wideband low-noise (transconductance) amplifiers [LN(T)A] for wireless cellular applications. In the first design, we introduce new approaches to reduce the noise figure of the noise-cancellation LNAs without sacrificing the power consumption budget, which leads to NF of 2 dB without adding extra power consumption. The proposed LNAs also have the capability to be used in current-mode receivers, especially in discrete-time receivers, as in the form of low noise transconductance amplifier (LNTA). In the second design, two different two-fold noise cancellation approaches are proposed, which not only improve the noise performance of the design, but also achieve high linearity (IIP3=+4.25 dBm). The proposed LN(T)As are implemented in TSMC 28-nm LP CMOS technology to prove that they are suitable for applications such as sub-6 GHz 5G receivers. The second objective of this dissertation research is to invent a novel method of band-pass filtering, which leads to achieving very sharp and selective band-pass filtering with high linearity and low input referred (IRN) noise (Chapter 4). This technique improves the noise and linearity performance without adding extra clock phases. Hence, the duty cycle of the clock phases stays constant, despite the sophisticated improvements. Moreover, due to its sharp filtering, it can filter out high blockers of near channels and can increase the receiver’s blocker tolerance. With the same total capacitor size and clock duty cycle as in a 1st-order complex charge-sharing band-pass filter (CS BPF), the proposed design achieves 20 dB better out-of-band filtering compared to the prior-art 1st-order CS BPF and 10 dB better out-of-band filtering compared to the conventional 2nd-order C-CS BPF. Finally, the stop-band rejection of the discrete-time infinite-impulse response (IIR) lowpass filter is improved by applying a novel technique to enhance the anti-aliasing filtering (Chapter 5). The aim is to introduce a 4th-order charge rotating (CR) discrete-time (DT) LPF, which achieves the record of stop-band rejection of 120 dB by using a novel pseudolinear interpolation technique while keeping the sampling frequency and the capacitor values constant
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Digital Signal Processing with Signal-Derived Timing: Analysis and Implementation
This work investigates two different digital signal processing (DSP) approaches that rely on signal-derived timing: continuous-time (CT) DSP and variable-rate DSP. Both approaches enable designs of energy-efficient signal processing systems by relating their operation rates to the input activity.
The majority of this thesis focuses on CT-DSP, whose operations are completely digital in CT, without the use of a clock. The spectral features of CT digital signals are analyzed first, demonstrating a general pattern of the quantization noise spectrum added in CT amplitude quantization. Then the focus is narrowed to the investigations of the system characteristics and architecture of CT digital infinite-impulse-response (IIR) filters, which are barely studied in the previous work on this topic. This thesis discusses and addresses previously unreported stability issue in CT digital IIR filters with the presence of delay-line mismatches and proposes an innovative method to design high-order CT digital IIR filters with only two tap delays. Introducing an event detector allows the operation rate of a CT digital IIR filter to closely track the input activity even though it is a feedback system. For the first time, the filtered CT digital signal is converted to a synchronous digital signal. This facilitates integrating the CT digital filter and conventional discrete-time systems and expands the applications of the former. This discussion uses a computationally efficient interpolation filter to improve the signal accuracy of the synchronous digital output. On the circuit level, a new delay-cell design is introduced. It ensures low jitter, good matching, robust communication with adjacent circuits and event-independent delay.
An integrated circuit (IC) with all these ideas adopted was fabricated in a TSMC 65 nm LP CMOS process. It is the first IC implementation of a CT digital IIR filter. It can process signals with a data rate up to 20 MHz. Thanks to the IIR response and the 16-bit resolution used in the system, the implemented filter can achieve a frequency response much more versatile and accurate than the CT digital filters in prior art. The implemented system features an agile power adaptive to input activity, varying from 2.32mW (full activity) to 40μW (idle) with no power-management circuitry.
The second part of the thesis discusses a variable-rate DSP capable of processing samples with a variable sampling rate. The clock rate in the variable-rate DSP tracks the input sampling rate. Compared to a fixed-rate DSP, the proposed system has a lower output data rate and hence is more computationally efficient. A reconstruction filter with a variable cutoff frequency is used to reconstruct the output. The signal-to-noise ratio remains fixed when the sampling rate changes