Level crossing rate estimation with Doppler adaptive noise suppression technique in frequency domain

Park, Goohyun; Hong, Daesik; Kang, Changeon

doi:10.1109/vetecf.2003.1285210

Cited by 29 publications

(1 citation statement)

References 9 publications

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“…Therefore, it is important to characterize the Doppler effect and its impact as the aircraft moves. The characterization of the Doppler effect can be performed by second-order statistical methods, such as the level crossing rate—LCR—which corresponds to the frequency at which the signal strength crosses a certain threshold in the positive or negative direction [ 6 , 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Vehicle Propagation Channel over Vegetation and Lake Areas: First- and Second-Order Statistical Analysis

Leite

Alsina

Campos

et al. 2021

Sensors

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The use of unmanned aerial vehicles (UAV) to provide services such as the Internet, goods delivery, and air taxis has become a reality in recent years. The use of these aircraft requires a secure communication between the control station and the UAV, which demands the characterization of the communication channel. This paper aims to present a measurement setup using an unmanned aircraft to acquire data for the characterization of the radio frequency channel in a propagation environment with particular vegetation (Caatinga) and a lake. This paper presents the following contributions: identification of the communication channel model that best describes the characteristics of communication; characterization of the effects of large-scale fading, such as path loss and log-normal shadowing; characterization of small-scale fading (multipath and Doppler); and estimation of the aircraft speed from the identified Doppler frequency.

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Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Vehicle Propagation Channel over Vegetation and Lake Areas: First- and Second-Order Statistical Analysis

Leite

Alsina

Campos

et al. 2021

Sensors

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Channel parameters estimation using cross-correlation matrix of a wireless SIMO system

Rejeb

Bousnina

Salah

et al. 2014

Fourth International Conference on Communications and Networking, ComNet-2014

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In this work, we develop a new method for the maximum Doppler Spread (DS), the Angular Spread (AS) and the mean Angle of Arrival (AoA) estimation in a Rayleigh channel with a Single Input Multiple Output (SIMO) system using an Uniform Linear Array (ULA) at the receiver. We also consider a macro-cell environment. In this paper, the cross-correlation matrix is defined for the Laplacian angular distribution and their derivatives are used to estimate the three parameters. Simulation results show that, our proposed algorithm outperforms the Auto-Correlation Function (ACF) based approach developed in [1] for the maximum DS estimation. For the mean AoA and the AS estimation, our approach offers lower Root Mean Square Error (RMSE) than the Spread Root MUSIC (SRM) estimator [2].

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CE-ViT: A Robust Channel Estimator Based on Vision Transformer for OFDM Systems

Liu,

Zhang,

Jiang

et al. 2023

GLOBECOM 2023 - 2023 IEEE Global Communications Conference

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Level crossing rate estimation with Doppler adaptive noise suppression technique in frequency domain

Cited by 29 publications

References 9 publications

Unmanned Aerial Vehicle Propagation Channel over Vegetation and Lake Areas: First- and Second-Order Statistical Analysis

Unmanned Aerial Vehicle Propagation Channel over Vegetation and Lake Areas: First- and Second-Order Statistical Analysis

Channel parameters estimation using cross-correlation matrix of a wireless SIMO system

CE-ViT: A Robust Channel Estimator Based on Vision Transformer for OFDM Systems

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