scholarly journals MIMO Channel-State Estimation in the Presence of Partial Data and/or Intermittent Measurements

Electronics ◽  
2017 ◽  
Vol 6 (2) ◽  
pp. 33 ◽  
Author(s):  
Marco Migliore ◽  
Daniele Pinchera ◽  
Mario Lucido ◽  
Fulvio Schettino ◽  
Gaetano Panariello
Keyword(s):  
State Estimation ◽  
Mimo Channel ◽  
Channel State ◽  
Channel State Estimation ◽  
Partial Data ◽  
Intermittent Measurements

scholarly journals A New Training Protocol for Channel State Estimation in Wireless Relay Networks

2010 ◽  
Vol 58 (11) ◽  
pp. 5950-5955 ◽  
Author(s):  
Cenk M. Yetis ◽  
Ahmet Hamdi Kayran
Keyword(s):  
State Estimation ◽  
Relay Networks ◽  
Wireless Relay Networks ◽  
Channel State ◽  
Channel State Estimation ◽  
Wireless Relay ◽  
Training Protocol

scholarly journals Optimal adaptive diversity watermarking with channel state estimation

2001 ◽  
Author(s):  
Sviatoslav V. Voloshynovskiy ◽  
Frederic Deguillaume ◽  
Shelby Pereira ◽  
Thierry Pun
Keyword(s):  
State Estimation ◽  
Channel State ◽  
Channel State Estimation ◽  
Adaptive Diversity

scholarly journals Hierarchical Data Decision Aided 2-Source BPSK H-MAC Channel Phase Estimator with Feed-Back Gradient Solver for WPNC Networks and Its Equivalent Model

Information ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 40 ◽  
Author(s):  
Jan Sykora
Keyword(s):  
State Estimation ◽  
Indicator Function ◽  
Equivalent Model ◽  
Hierarchical Data ◽  
Decode And Forward ◽  
Channel State ◽  
Physical Layer Network Coding ◽  
Channel State Estimation ◽  
Stable Domain ◽  
Individual Source

This paper focuses on the channel state estimation (CSE) problem in parametrized Hierarchical MAC (H-MAC) stage in Wireless Physical Layer Network Coding (WPNC) networks with Hierarchical Decode and Forward (HDF) relay strategy. We derive a non-pilot based H-MAC channel phase estimator for 2 BPSK alphabet sources. The CSE is aided only by the knowledge of H-data decisions. At HDF relay, there is no information on individual source symbols available. The estimator is obtained by a marginalization over the hierarchical dispersion. The estimator uses a gradient additive update solver and the indicator function (gradient) is derived in exact closed form and in approximations for low and high SNR. We analyze the properties of the equivalent solver model, particularly the equivalent gradient detector characteristics and its main stable domain properties, and also the detector gain and equivalent noise properties under a variety of channel parameterization scenarios.

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