Results 1 to 10 of about 186,721 (185)
Impulse response analysis of an ultrasonic human body channel [PDF]
Computer Networks, 2020 Abstract Ultrasounds have been successfully and safely employed in underwater communications and for health diagnosis in the last 60 years because of their good performance in environments with high water concentration. Recently it has been proposed also to employ them for supporting intra-body communications; however exploitation of ultrasounds ...
Laura Galluccio
exaly +3 more sources
Window-Based Channel Impulse Response Prediction for Time-Varying Ultra-Wideband Channels. [PDF]
PLoS ONE, 2016 This work proposes channel impulse response (CIR) prediction for time-varying ultra-wideband (UWB) channels by exploiting the fast movement of channel taps within delay bins.
A M Al-Samman +5 more
doaj +2 more sources
Channel Impulse Response-based Distributed Physical Layer Authentication [PDF]
2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 2017 In this preliminary work, we study the problem of {\it distributed} authentication in wireless networks. Specifically, we consider a system where multiple Bob (sensor) nodes listen to a channel and report their {\it correlated} measurements to a Fusion ...
Abbasi, Qammer H. +4 more
core +4 more sources
Direct Time-Domain Channel Impulse Response Estimation for OFDM-Based Systems [PDF]
Vehicular Technology Conference-Fall (VTC-FALL), Proceedings, IEEE, 2007 A method to estimate the channel impulse response using the received serial data in time-domain, without using DFT operations, is investigated. The processing required by the proposed method is substantially reduced when compared with LS-DFT channel ...
Carlos Ribeiro, Atilio Gameiro
exaly +3 more sources
RAKE Receiver for Channels with a Sparse Impulse Response [PDF]
IEEE Transactions on Wireless Communications, 2007 We derive the optimal receiver for RAKE diversity combining on channels with a sparse impulse response. The receiver is based on the Bayesian philosophy and thus it requires the knowledge of certain a priori parameters. However, we also derive an empirical Bayesian version of our receiver, which does not require any a priori knowledge, nor the choice ...
Selén, Yngve, Larsson, Erik G.
openaire +2 more sources
Non-Directional Property of Human–Body Communication Channel for Implantable Device Application
Sensors, 2023 In this paper, we present the properties of a communication channel used for implantable devices. The human–body communication (HBC) channel was proposed for data communication in implantable devices.
Jaehyo Jung +3 more
doaj +1 more source
DFT-Based Channel Estimation with Symmetric Extension for OFDMA Systems
EURASIP Journal on Wireless Communications and Networking, 2009 A novel partial frequency response channel estimator is proposed for OFDMA systems. First, the partial frequency response is obtained by least square (LS) method.
Wang Yi, Li Lihua, Zhang Ping, Liu Zemin
doaj +2 more sources
Cyclic-Coded Integer-Forcing Equalization [PDF]
, 2011 A discrete-time intersymbol interference channel with additive Gaussian noise is considered, where only the receiver has knowledge of the channel impulse response.
Erez, Uri, Ordentlich, Or
core +1 more source
Channel Impulse Response Tap Prediction for Time-Varying Wireless Channels [PDF]
IEEE Transactions on Vehicular Technology, 2007 In this paper, we perform a comparative study of both the achievable performance and the associated computational complexity of two major time-domain prediction strategies proposed for employment in wireless mobile communication systems. Specifically, we investigate the intrinsic design tradeoffs of the so-called stationary robust predictor and the ...
Jos Akhtman, Lajos Hanzo
openaire +1 more source
Detection-Guided Fast Affine Projection Channel Estimator for Speech Applications
EURASIP Journal on Audio, Speech, and Music Processing, 2007 In various adaptive estimation applications, such as acoustic echo cancellation within teleconferencing systems, the input signal is a highly correlated speech. This, in general, leads to extremely slow convergence of the NLMS adaptive FIR estimator.
Yan Wu Jennifer +3 more
doaj +2 more sources