NDLI: Automatic Gain Control for ADC-Limited Communication

Content Provider	IEEE Xplore Digital Library
Author	Feifei Sun Singh, J. Madhow, U.
Copyright Year	2010
Abstract	As the date rates and bandwidths of communication systems scale up, the cost and power consumption of high-precision (e.g., 8-12 bits) analog-to- digital converters (ADCs) become prohibitive. One possible approach to relieve this bottleneck is to redesign communication systems with the starting assumption that the receiver employs ADCs with drastically reduced precision (e.g., 1-4 bits). Encouraging results from information- theoretic analysis in idealized settings prompt a detailed investigation of receiver signal processing algorithms when ADC precision is reduced. In this paper, we investigate the problem of automatic gain control (AGC) for pulse amplitude modulation (PAM) signaling over the AWGN channel, with the goal being to align the ADC thresholds with the maximum likelihood (ML) decision regions. The approach is to apply a variable gain to the ADC input, ﬁxing the ADC thresholds, with the gain being determined by estimating the signal amplitude from the quantized ADC output. We consider a blind approach in which the ML estimate for the signal amplitude is obtained based on the quantized samples corresponding to an unknown symbol sequence. We obtain good performance, in terms of both channel capacity and uncoded bit error rate, at low to moderate SNR, but the performance can actually degrade as SNR increases due to the increased sensitivity of the ML estimator in this regime. However, we demonstrate that the addition of a random Gaussian dither, with power optimized to minimize the normalized mean squared error of the ML estimate, yields performance close to that of ideal AGC over the entire range of SNR of interest.
Starting Page	1
Ending Page	5
File Size	228651
Page Count	5
File Format	PDF
ISBN	9781424456369
ISSN	1930529X
e-ISBN	9781424456383
e-ISBN	9781424456376
DOI	10.1109/GLOCOM.2010.5683423
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal to noise ratio Receivers Maximum likelihood estimation Training Quantization Bit error rate
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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