@inproceedings{cb6aeec5ed5f411bb17641f92fe9334d,
title = "Sensor networks-inspired low-power robust PN code acquisition",
abstract = "A lgorithmic Noise Tolerance (ANT) techniques have reduced power consumption in many signal-processing applications, but they typically require an error-free estimator block and do not fully exploit the statistical nature of timing errors. By approaching certain computations as estimation problems, we draw inspiration from sensor networks and develop a novel power conservation scheme in which the main computation result is estimated from multiple potentially erroneous sub-computations. The sub-computations are performed by {"}sensors{"} and a {"}fusion center{"} acts as a robust estimator. This scheme is shown to offer significant power savings in a PN code acquisition application.",
author = "Sriram Narayanan and Varatkar, {Girish V.} and Jones, {Douglas L} and Shanbhag, {Naresh R.}",
year = "2007",
doi = "10.1109/ACSSC.2007.4487458",
language = "English (US)",
isbn = "9781424421107",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
pages = "1397--1401",
booktitle = "Conference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC",
note = "41st Asilomar Conference on Signals, Systems and Computers, ACSSC ; Conference date: 04-11-2007 Through 07-11-2007",
}