Enhanced Estimation of a Noisy Quantum Channel Using Entanglement [PDF]
We discuss the estimation of channel parameters for a noisy quantum channel - the so-called Pauli channel - using finite resources. It turns out that prior entanglement considerably enhances the fidelity of the estimation when we compare it to an ...
Cirone, Markus A. +3 more
core +2 more sources
Optimal channels for channelized quadratic estimators
We present a new method for computing optimized channels for estimation tasks that is feasible for high-dimensional image data. Maximum-likelihood (ML) parameter estimates are challenging to compute from high-dimensional likelihoods. The dimensionality reduction from M measurements to L channels is a critical advantage of channelized quadratic ...
Meredith K, Kupinski, Eric, Clarkson
openaire +2 more sources
Energy-Efficient Channel Estimation
We investigate the energy-efficient channel estimation in wireless networks, where one pilot is inserted for every several data slots to estimate the channel coefficients. Both the channel state information estimation error and the time-varying model are
Guandong Wei +5 more
doaj +1 more source
Performance evaluation of channel estimation techniques for MIMO-OFDM systems with adaptive sub-carrier allocation [PDF]
Dynamic Sub-Carrier Allocation (DSA) strategies have been shown previously to achieve significant performance benefits when applied to OFDMA systems and further benefits for MIMOOFDMA systems.
Armour, SMD, McGeehan, JP, Peng, Y
core +2 more sources
A Novel Data-Aided Channel Estimation with Reduced Complexity for TDS-OFDM Systems [PDF]
In contrast to the classical cyclic prefix (CP)-OFDM, the time domain synchronous (TDS)-OFDM employs a known pseudo noise (PN) sequence as guard interval (GI).
Crussière, Matthieu +2 more
core +5 more sources
5G Positioning and Mapping with Diffuse Multipath [PDF]
5G mmWave communication is useful for positioning due to the geometric connection between the propagation channel and the propagation environment. Channel estimation methods can exploit the resulting sparsity to estimate parameters(delay and angles) of ...
Kulmer, Josef +3 more
core +3 more sources
Fast Sparse Bayesian Learning-Based Channel Estimation for Underwater Acoustic OFDM Systems
Harsh underwater channels and energy constraints are the two critical issues of underwater acoustic (UWA) communications. To achieve a high channel estimation performance under a severe underwater channel, sparse Bayesian learning (SBL)-based channel ...
Yong-Ho Cho
doaj +1 more source
Two-Way Training for Discriminatory Channel Estimation in Wireless MIMO Systems [PDF]
This work examines the use of two-way training to efficiently discriminate the channel estimation performances at a legitimate receiver (LR) and an unauthorized receiver (UR) in a multiple-input multiple-output (MIMO) wireless system.
Chang, Tsung-Hui +3 more
core +1 more source
Compressive sensing based Bayesian sparse channel estimation for OFDM communication systems: high performance and low complexity [PDF]
In orthogonal frequency division modulation (OFDM) communication systems, channel state information (CSI) is required at receiver due to the fact that frequency-selective fading channel leads to disgusting inter-symbol interference (ISI) over data ...
Adachi, Fumiyuki +3 more
core +4 more sources
Channel estimation with noisy entanglement [PDF]
We analyze the Pauli-channel estimation with mixed nonseparable states. It turns out that within a specific range entanglement can serve as a nonclassical resource. However, this range is rather small, that is entanglement is not very robust for this application.
Bschorr, Thorsten C. +2 more
openaire +3 more sources

