Performance Bounds for a Maxima-Sampling Envelope Detector

Envelope detectors in automatic gain control systems must achieve both low tracking latency and low output ripple for feedback stability. Conventional non-sampled envelope detectors intrinsically trade off latency and ripple. Maxima-sampling envelope detectors (MSEDs), which demodulate by sampling signal peaks, circumvent this latency-ripple trade-off, enabling control loops that remain stable over several frequency decades. However, MSED nonlinearity causes an intricate, previously uncharacterized interplay between input spectral properties and performance. This work analytically derives and numerically verifies input-dependent performance bounds for MSEDs. By formulating practical “rules-of-thumb” for mixed-signal circuit designers, we pave the way for the broader adoption of MSEDs.

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Journal
IEEE Transactions on Circuits & Systems II Express Briefs
Published
2025-09-02
DOI
https://doi.org/10.1109/tcsii.2025.3605161
Primary Topic
Distributed Sensor Networks and Detection Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Performance Bounds for a Maxima-Sampling Envelope Detector

Swagat Bhattacharyya
IEEE Transactions on Circuits & Systems II Express Briefs
Distributed Sensor Networks and Detection Algorithms
article

Performance Bounds for a Maxima-Sampling Envelope Detector

Swagat Bhattacharyya
article en

Abstract

Envelope detectors in automatic gain control systems must achieve both low tracking latency and low output ripple for feedback stability. Conventional non-sampled envelope detectors intrinsically trade off latency and ripple. Maxima-sampling envelope detectors (MSEDs), which demodulate by sampling signal peaks, circumvent this latency-ripple trade-off, enabling control loops that remain stable over several frequency decades. However, MSED nonlinearity causes an intricate, previously uncharacterized interplay between input spectral properties and performance. This work analytically derives and numerically verifies input-dependent performance bounds for MSEDs. By formulating practical “rules-of-thumb” for mixed-signal circuit designers, we pave the way for the broader adoption of MSEDs.

IEEE Transactions on Circuits & Systems II Express BriefsVol. 72(10)
Georgia Institute of Technology (US)
National Science Foundation
Openalex Percentile: Top 74%
Distributed Sensor Networks and Detection Algorithms
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