P
Peter Willett
Researcher at University of Connecticut
Publications - 708
Citations - 17740
Peter Willett is an academic researcher from University of Connecticut. The author has contributed to research in topics: Sensor fusion & Wireless sensor network. The author has an hindex of 59, co-authored 708 publications receiving 15726 citations. Previous affiliations of Peter Willett include Naval Undersea Warfare Center & University of Salerno.
Papers
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What is a tutorial
TL;DR: There are two kinds of tutorial articles: those that provide a primer on an established topic and those that let us in on the ground floor of something of emerging importance.
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Multicarrier Communication Over Underwater Acoustic Channels With Nonuniform Doppler Shifts
TL;DR: In this paper, the authors proposed a two-step approach to mitigate the Doppler effect: 1) non-uniform DoP compensation via resampling that converts a wideband problem into a narrowband problem and 2) high-resolution uniform compensation of the residual DoP.
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Sparse channel estimation for multicarrier underwater acoustic communication: From subspace methods to compressed sensing
TL;DR: Various channel estimators that exploit the channel sparsity in a multicarrier underwater acoustic system are presented, including subspace algorithms from the array precessing literature, namely root-MUSIC and ESPRIT, and recent compressed sensing algorithms in form of Orthogonal Matching Pursuit and Basis Pursuit.
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Censoring sensors: a low-communication-rate scheme for distributed detection
TL;DR: The main result of this work is that with conditionally independent sensor data and under a communication rate constraint, transmission should occur if and only if the local likelihood ratio value observed by the sensor does not fall in a certain single interval.
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Signal Processing for Passive Radar Using OFDM Waveforms
TL;DR: This paper derives the exact matched filter formulation for passive radar using OFDM waveforms, and shows that the current approach using Fourier analysis across block channel estimates is equivalent to the matched filter, based on a piecewise constant assumption on the Doppler-induced phase rotation in the time domain.