Direction of arrival measurements at UHF

Matthews, P.A.; Mohebbi, Behzad

doi:10.1049/el:19890715

Cited by 13 publications

(25 citation statements)

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“…The results of the numerous measurements show that r s and r E increase with increasing urbanization of environment. In this paper, the relationship between r s and r E is determined based on data from the seven measurement scenarios described in [7,27,28,[30][31][32]. In [22], many measurement scenarios are used to assess the approximation errors of geometrical models of PDF of AAOA.…”

Section: Statistical Relationship Between Ds and Asmentioning

confidence: 99%

Empirical Models of the Azimuthal Reception Angle—Part II: Adaptation of the Empirical Models in Analytical and Simulation Studies

Ziółkowski

Kelner

2016

Wireless Pers Commun

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This paper focuses on modeling of the statistical reception angle properties that are the result of the environmental influence on transmitted signals. Numerous measurements have shown that the statistical properties of angle of arrival (AOA) significantly depend on the type of propagation environment. In practice, this means that in the analytical and simulation studies, the use of statistical models of AOA required their adaptation to propagation conditions in research scenario. Despite the large number of papers that are devoted to the AOA modeling, the method of fitting models to the environment is not presented in any of the publications. This paper fills this gap. For the assessment of the propagation properties and environment type classification, the basis is the rms delay spread (DS). Therefore, the presented method of the model adaptation to the environment type consists of determining the relationship between the model parameter and DS of environment. Here, the probability density function (PDF) of models such as the modified Gaussian, modified Laplacian, modified logistic, and von Mises distribution are considered as the statistical models of azimuth AOA. For seven different propagation environments, the measurement results are used as a reference data. A comparative analysis shows that the modified Laplacian PDF provides the smallest error fit to measurement data. However, in theoretical analysis and simulation studies, other empirical models can be used due to relatively low approximation errors. The presented results are the basis for the adaptation error assessment of the empirical model for any of the research scenario.

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Section: Statistical Relationship Between Ds and Asmentioning

confidence: 99%

Empirical Models of the Azimuthal Reception Angle—Part II: Adaptation of the Empirical Models in Analytical and Simulation Studies

Ziółkowski

Kelner

2016

Wireless Pers Commun

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“…With respect to empirical PDF, it means a unimodal function type. Compared to [20], here the set of measurement results is limited to seven scenarios that are described in [21,[42][43][44][45][46]. Out of all unimodal, empirical PDFs that are included in [20], the measurement data from [47] are not contained in this paper.…”

Section: Measurement Scenariosmentioning

confidence: 99%

“…Reference data are derived from the measurements that have been made in both rural environment [43] as well as urban environment with different density of buildings [21,42,[44][45][46]. The type of propagation environment is determined by the height of the receiving antenna location relative to the mean height of buildings.…”

Section: Measurement Scenariosmentioning

confidence: 99%

“…The type of propagation environment is determined by the height of the receiving antenna location relative to the mean height of buildings. For [42,45,46] and [21] (Aarhus) scenarios, the location height of antennas significantly exceed the mean height of buildings. As a result, the propagation conditions correspond to the typical urban environment type.…”

Section: Measurement Scenariosmentioning

confidence: 99%

“…Unlike other scenarios, the measurement results were obtained for the fixed positions of Tx and Rx. Thus, the empirical data from Leeds [42] and Yokosuka [44] do not account for the spatial averaging of measurements. This means that the evaluation of PDF of AAOA requires not only defining the model, type of environment, but also the choice of an appropriate measure for measurement campaign.…”

Section: Comparative Analysis Of Empirical Modelsmentioning

confidence: 99%

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Empirical Models of the Azimuthal Reception Angle—Part I: Comparative Analysis of Empirical Models for Different Propagation Environments

Ziółkowski

Kelner

2016

Wireless Pers Commun

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Statistical properties of the reception angle have a significant impact on the choice of the antenna system patterns and decide on the received signal-processing methods. For angle of arrival in azimuth plane, comparative analysis of the empirical models and the approximation error evaluation are the purpose of this paper. Here, the presented analysis is focused on models such as the von Mises, modified Gaussian, modified Laplacian, and modified logistic. For each model, the approximation accuracy is determined with respect to measurement data for seven different propagation scenarios. The measures such as the least-squares error, difference of standard deviations, Kolmogorov-Smirnov statistic, and Cramer-von Mises statistic are used for evaluation of the approximation errors. Comparative analysis for four empirical models, differentiation of propagation environments, multi-criterial evaluation of approximation errors in significant degree fill a gap in the previous analysis presented in the literature. The obtained results show that the empirical models provide a better fit to the measurement data than the geometrical models, and the smallest errors of approximation are for the modified Laplacian and logistic distributions.

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A tunable 3‐D statistical channel model for spatio‐temporal characteristics of wireless communication networks

Nawaz

Wyne

Baltzis

et al. 2017

Trans Emerging Tel Tech

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Direction of arrival measurements at UHF

Cited by 13 publications

References 0 publications

Empirical Models of the Azimuthal Reception Angle—Part II: Adaptation of the Empirical Models in Analytical and Simulation Studies

Empirical Models of the Azimuthal Reception Angle—Part II: Adaptation of the Empirical Models in Analytical and Simulation Studies

Empirical Models of the Azimuthal Reception Angle—Part I: Comparative Analysis of Empirical Models for Different Propagation Environments

A tunable 3‐D statistical channel model for spatio‐temporal characteristics of wireless communication networks

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