MIMO radar with widely separated antennas

AM Haimovich, RS Blum… - IEEE signal processing …, 2007 - ieeexplore.ieee.org
MIMO (multiple-input multiple-output) radar refers to an architecture that employs multiple,
spatially distributed transmitters and receivers. While, in a general sense, MIMO radar can …

Cooperative robotic networks for underwater surveillance: an overview

G Ferri*, A Munafò*, A Tesei, P Braca… - IET Radar, Sonar & …, 2017 - Wiley Online Library
Underwater surveillance has traditionally been carried out by means of surface and
undersea manned vessels equipped with advanced sensor systems. This approach is often …

Optimal task offloading and resource allocation in mobile-edge computing with inter-user task dependency

J Yan, S Bi, YJ Zhang, M Tao - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has recently emerged as a cost-effective paradigm to
enhance the computing capability of hardware-constrained wireless devices (WDs). In this …

Soft information for localization-of-things

A Conti, S Mazuelas, S Bartoletti… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Location awareness is vital for emerging Internet-of-Things applications and opens a new
era for Localization-of-Things. This paper first reviews the classical localization techniques …

Cooperative spectrum sensing in cognitive radio networks: A survey

IF Akyildiz, BF Lo, R Balakrishnan - Physical communication, 2011 - Elsevier
Spectrum sensing is a key function of cognitive radio to prevent the harmful interference with
licensed users and identify the available spectrum for improving the spectrum's utilization …

[图书][B] Statistical pattern recognition

AR Webb - 2003 - books.google.com
Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …

Distributed detection in wireless sensor networks under multiplicative fading via generalized score tests

D Ciuonzo, PS Rossi… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In this article, we address the problem of distributed detection of a noncooperative (unknown
emitted signal) target with a wireless sensor network. When the target is present, sensors …

Fast convergence rates for distributed non-Bayesian learning

A Nedić, A Olshevsky, CA Uribe - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
We consider the problem of distributed learning, where a network of agents collectively aim
to agree on a hypothesis that best explains a set of distributed observations of conditionally …

Distributed detection with multiple sensors II. Advanced topics

RS Blum, SA Kassam, HV Poor - Proceedings of the IEEE, 1997 - ieeexplore.ieee.org
Following the foundational work that established basic ideas for optimum distributed
defection schemes using multiple sensors (as reviewed in Part I of this two-part review) …

On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage

V Gupta, TH Chung, B Hassibi, RM Murray - automatica, 2006 - Elsevier
In this note we consider the following problem. Suppose a set of sensors is jointly trying to
estimate a process. One sensor takes a measurement at every time step and the …