Abstract:
The present disclosure describes an improved multi-stage noise shaping (MASH) analog-to-digital converter (ADC) for converting an analog input signal to a digital output signal. In particular, a full delta-sigma (ΔΣ) modulator is provided at the front-end of the MASH ADC, and another full ΔΣ modulator is provided at the back-end of the MASH ADC. The front-end ΔΣ modulator digitizes an analog input signal, and the back-end ΔΣ modulator digitizes an error between the output of the front-end ΔΣ modulator and the (original) analog input signal. In this configuration where the back-end modulator digitizes the error of the (full) front-end modulator, some design constraints of the front-end are relaxed. These design constraints include thermal noise, digital noise cancellation filter complexity (the quantization noise of the front-end is already shaped by the noise transfer function of the front-end), and/or non-linearity.
Abstract:
In one aspect, an electrical signal converter is disclosed. The exemplary electrical signal converter may include a plurality of ordered converter elements. Element selection logic may be provided to pseudorandomly select a pointer to a switch matrix, wherein the switch matrix maps converter elements according to a stepwise “delta-two-maximum pattern.” Advantageously, pseudorandom stepwise delta-two-maximum patterns may be applied both to a first order converter, and to a feedback converter for error correction.
Abstract:
In one aspect, an electrical signal converter is disclosed. The exemplary electrical signal converter may include a plurality of ordered converter elements. Element selection logic may be provided to pseudorandomly select a pointer to a switch matrix, wherein the switch matrix maps converter elements according to a stepwise “delta-two-maximum pattern.” Advantageously, pseudorandom stepwise delta-two-maximum patterns may be applied both to a first order converter, and to a feedback converter for error correction.
Abstract:
Digital-to-analog converters (DACs) are used widely in electronics. The DACs are usually not ideal and typically exhibits errors, e.g., static mismatch errors. This disclosure describes a digital calibration technique for DAC static mismatch in continuous-time delta-sigma modulators (CTDSMs). The methodology utilizes the DAC unit elements (UEs) themselves to measure each other's mismatch. There are no extra circuitries except for the logic design inside DAC drivers or comparators. The methodology is an attractive calibration technique for high performance CTDSMs, especially for high speed system in multi-gigahertz range with low over-sampling rate (OSR).
Abstract:
In one example implementation, the present disclosure provides a loop filter for use in a continuous-time sigma-delta analog-to-digital converter. Specifically, a capacitive feedback digital-to-analog converter path is provided at the input of a first opamp in a series of opamp integrators. The capacitive feedback digital-to-analog converter at the input of the first opamp reduces the signal content at the output of the first opamp, and thereby reduces the output swing of the first opamp. A reduction in output swing provides a more efficient loop filter.
Abstract:
A delta-sigma modulator is configured to sense and convert an electromagnetic field into a digital signal. An exemplary delta-sigma modulator includes a sensor component, such as an LC resonator, that is configured to sense the electromagnetic field and generate an input analog signal, where the delta-sigma modulator is configured to convert the input analog signal to the digital signal. Delta-sigma modulator can include an analog-to-digital converter coupled to the sensor component that receives and converts the input analog signal to the digital signal. Delta-sigma modulator can further include a digital-to-analog converter (DAC) coupled to the resonator and the ADC, the DAC configured to receive the digital signal from the ADC and generate a feedback analog signal.
Abstract:
An integrated circuit includes a component calculator configured to compute at least one component value of a highly programmable analog-to-digital converter (ADC) from at least one application parameter, and a mapping module configured to map the component value to a corresponding register setting of the ADC based on at least one process parameter, wherein the integrated circuit produces digital control signals capable of programming the ADC. In a specific embodiment, the component calculator uses an algebraic function of a normalized representation of the application parameter to approximately evaluate at least one normalized ADC coefficient. The component value is further calculated by denormalizing the normalized ADC coefficient. In another specific embodiment, the component calculator uses an algebraic function of the application parameter to calculate the component value. In some embodiments, the integrated circuit further includes a scaling module configured to scale the component value based on scaling parameters.
Abstract:
In one example implementation, the present disclosure provides a loop filter for use in a continuous-time sigma-delta analog-to-digital converter. Specifically, a capacitive feedback digital-to-analog converter path is provided at the input of a first opamp in a series of opamp integrators. The capacitive feedback digital-to-analog converter at the input of the first opamp reduces the signal content at the output of the first opamp, and thereby reduces the output swing of the first opamp. A reduction in output swing provides a more efficient loop filter.
Abstract:
In one aspect, an electrical signal converter is disclosed. The exemplary electrical signal converter may include a plurality of ordered converter elements. Element selection logic may be provided to pseudorandomly select a pointer to a switch matrix, wherein the switch matrix maps converter elements according to a stepwise “delta-two-maximum pattern.” Advantageously, pseudorandom stepwise delta-two-maximum patterns may be applied both to a first order converter, and to a feedback converter for error correction.
Abstract:
A delta-sigma modulator is configured to sense and convert an electromagnetic field into a digital signal. An exemplary delta-sigma modulator includes a sensor component, such as an LC resonator, that is configured to sense the electromagnetic field and generate an input analog signal, where the delta-sigma modulator is configured to convert the input analog signal to the digital signal. Delta-sigma modulator can include an analog-to-digital converter coupled to the sensor component that receives and converts the input analog signal to the digital signal. Delta-sigma modulator can further include a digital-to-analog converter (DAC) coupled to the resonator and the ADC, the DAC configured to receive the digital signal from the ADC and generate a feedback analog signal.