Publication
A 192 nW 0.02 Hz High Pass Corner Acoustic Analog Front-End with Automatic Saturation Detection and Recovery
Abstract
We present an acoustic analog front-end with a 100TΩ feedback resistance that is robust to PT variation (1.8× deviation across –40 to 80°C and 0.035× σ/µ across 16 measured samples) and achieves a 3.3× reduction in input referred noise (IRN). It eliminates an input frequency and phase dependent systematic offset introduced by a similar previous technique [5] and introduces automatic saturation detection and feedback resistance modulation for fast amplifier restabilization, yielding 10× improvement in artifact recovery time. The technique was implemented in a 192 nW LNA + PGA + ADC chain.
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Related concepts (23)
Noise figure
Noise figure (NF) and noise factor (F) are figures of merit that indicate degradation of the signal-to-noise ratio (SNR) that is caused by components in a signal chain. These figures of merit are used to evaluate the performance of an amplifier or a radio receiver, with lower values indicating better performance. The noise factor is defined as the ratio of the output noise power of a device to the portion thereof attributable to thermal noise in the input termination at standard noise temperature T0 (usually 290 K).
Signal-to-noise ratio
Signal-to-noise ratio (SNR or S/N) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise. SNR is defined as the ratio of signal power to noise power, often expressed in decibels. A ratio higher than 1:1 (greater than 0 dB) indicates more signal than noise. SNR is an important parameter that affects the performance and quality of systems that process or transmit signals, such as communication systems, audio systems, radar systems, imaging systems, and data acquisition systems.
Frequency response
In signal processing and electronics, the frequency response of a system is the quantitative measure of the magnitude and phase of the output as a function of input frequency. The frequency response is widely used in the design and analysis of systems, such as audio and control systems, where they simplify mathematical analysis by converting governing differential equations into algebraic equations.
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