Joint mean angle of arrival, angular and Doppler spreads estimation in macrocell environments

Rejeb, Nessrine Ben; Bousnina, Ines; Salah, M. Bassem Ben; Samet, Abdelaziz

doi:10.1186/1687-6180-2014-133

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…The other characteristic of the channel that has been modeled is the probability density function of the AoA. In literature [24], the AoA has been variously modeled. Some popular representations include, Von Mises, Laplacian and even Gaussian distribution.…”

Section: Channel Modelingmentioning

confidence: 99%

Impact of vector sensor on underwater acoustic communications system

Fauziya

Lall²,

Agrawal

2018

IET Radar, Sonar & Navigation

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The use of vector sensors as receivers for Underwater Acoustic Communications systems is gaining popularity. It has become important to obtain performance measures for such communication systems to quantify their efficacy. The fundamental advantage of using a vector sensor as a receiver is that a single sensor is able to provide diversity gains offered by MIMO systems. In a recent work novel framework for evaluating capacity of underwater channel was proposed. The approach is based on modeling the channel as a set of paths along which the signal arrives at the receiver with different Angles of Arrival. In this work, we build on that framework to provide a bound on the achievable capacity of such a system. The analytical bounds have been compared against simulation results for a vector sensor based SIMO underwater communications system. The channel parameters are modeled by analysing the statistics generated with Bellhop simulation tool. This representation of the channel is flexible and allows for characterizing channels at different geographical locations and at different time instances. This characterization in terms of channel pa-1 rameters enables the computing of the performance measure (channel capacity bound) for different geographical locations.

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Section: Channel Modelingmentioning

confidence: 99%

Impact of vector sensor on underwater acoustic communications system

Fauziya

Lall²,

Agrawal

2018

IET Radar, Sonar & Navigation

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“…We realize that the angle of arrival (AOA) estimation [10,11] is an interesting study that can be applied for localization. Recently, it has been shown that multipleinput multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) channel state information (CSI) may be used as the observation data for localization based on AOA [9].…”

Section: Introductionmentioning

confidence: 99%

Performance limit of AOA-based localization using MIMO-OFDM channel state information

Demeechai

Kukieattikool

2017

J Wireless Com Network

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Wireless communication networks are increasingly based on the ubiquitous multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) modulation scheme. Their channel state information is generally obtained each time by a base station receiver as soon as a data packet is successfully received from a mobile device. As it has been shown recently that the MIMO-OFDM channel state information can be used for angle of arrival-based localization, this paper presents a theoretical investigation of the localization performance. The method of computing the Cramer-Rao lower bound, which represents the performance of a minimum variance unbiased estimator, is presented and then used for insightful investigation purposes by means of inspecting the viability of the system requirements and the design properties.

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