[图书][B] Intelligence for embedded systems

C Alippi - 2014 - Springer
This book was written having in mind researchers, practitioners, and students willingly to
learn, understand, or perfect the fundamental mechanisms behind intelligence and how they …

Hidden Markov models for radio localization in mixed LOS/NLOS conditions

C Morelli, M Nicoli, V Rampa… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
This paper deals with the problem of radio localization of moving terminals (MTs) for indoor
applications with mixed line-of-sight/non-line-of-sight (LOS/NLOS) conditions. To reduce …

Consensus-based algorithms for distributed network-state estimation and localization

G Soatti, M Nicoli, S Savazzi… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Recent advances of hardware design and radio technologies have opened the way for an
emerging category of network-enabled smart physical devices as a result of convergence in …

Power adaptive localization algorithm for wireless sensor networks using particle filter

H Ren, MQH Meng - IEEE Transactions on Vehicular …, 2008 - ieeexplore.ieee.org
Power scheduling and localization play important roles in network topology management.
Distributed power scheduling is an efficient way to construct a reliable and energy-efficient …

A jump Markov particle filter for localization of moving terminals in multipath indoor scenarios

M Nicoli, C Morelli, V Rampa - IEEE Transactions on Signal …, 2008 - ieeexplore.ieee.org
This correspondence describes an efficient Bayesian framework for localization of moving
terminals (MTs) in wideband wireless networks. In a previous paper, the authors have …

Practical evaluation of a crowdsourcing indoor localization system using hidden Markov models

S Sun, Y Li, WST Rowe, X Wang, A Kealy… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
The extensive deployment of wireless infrastructure provides a low-cost approach to tracking
of mobile phone users in indoor environments using received signal strength (RSS) …

A hidden semi-Markov model for indoor radio source localization using received signal strength

S Sun, X Wang, B Moran, WST Rowe - Signal Processing, 2020 - Elsevier
Multipath propagation makes the use of received signal strength (RSS) unreliable as a
signal propagation model for localization of a radio source based on RSS data. An approach …

Low-density wireless sensor networks for localization and tracking in critical environments

A Cenedese, G Ortolan… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
In this paper, the problem of localizing and tracking mobile nodes acting in a fixed wireless
sensor network (WSN) is addressed. A strategy is proposed based on an empirical map of …

Neural fuzzy based indoor localization by Kalman filtering with propagation channel modeling

BF Wu, CL Jen, KC Chang - 2007 IEEE International …, 2007 - ieeexplore.ieee.org
In this study, an indoor localization based on the received signal strength indication (RSSI)
in wireless sensor networks (WSN) is proposed. The presented approach proceeds in two …

An approach to infrastructure-independent person localization with an IEEE 802.15. 4 WSN

J Schmid, M Völker, T Gädeke, P Weber… - 2010 International …, 2010 - ieeexplore.ieee.org
In this paper a new concept for an infrastructure independent approach to indoor person
localization is outlined. It is proposed to deploy an ad-hoc wireless sensor network (WSN) by …