Theory and measurement of the angle of arrival and time delay of UHF radiowaves using a ring array

Rossi, Jean‐Pierre; Barbot, Jean–Pierre; Lévy, A.

doi:10.1109/8.575640

Cited by 37 publications

(32 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The PDF, CDF, and LCR of the reference model are described by (6), (8), and (11), respectively. The results obtained for the reference model are shown in form of continuous lines.…”

Section: Hardware Test Resultsmentioning

confidence: 99%

“…where p ξ (r) is the Rice PDF presented in (6). The symbol β represents the negative curvature of the ACF r μiμi (τ) of the underlying real-valued Gaussian process μ i (t) (i = 1, 2) at the origin τ = 0.…”

Section: Statistical Properties Of Soc Modelsmentioning

confidence: 99%

“…In [13], it has been shown that the PDF p ξ (r) of ξ(t) is given by , r ≥ 0 (6) as N → ∞, where I 0 (·) is the 0th order-modified Bessel function of the first kind. Likewise, the cumulative distribution function (CDF) P ξ− (r) of ξ(t) has been derived in [14], where the following result can be found:…”

Section: Statistical Properties Of Soc Modelsmentioning

confidence: 99%

“…This model was originally proposed by Clarke [3]. However, realistic propagation environments do not fulfill the isotropic scattering conditions, which result in a nonuniform distribution of the AOA, leading to an asymmetrical PSD that can exhibit a variety of shapes (see [4][5][6][7][8] for more details).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Accurate Hardware Sum-of-Cisoids Fading Channel Simulator for Isotropic and Non-Isotropic Mobile Radio Environments

Vela-Garcia

Castillo

Parra-Michel

et al. 2012

Modelling and Simulation in Engineering

View full text Add to dashboard Cite

The rapid technological development in the field of wireless communications calls for devices capable of reproducing and simulating the behavior of the channel under realistic propagation conditions. This paper presents a hardware fading channel simulator that is able to generate stochastic processes characterized by symmetrical and asymmetrical Doppler power spectral densities (PSDs) depending on the assumption of isotropic or non-isotropic scattering. The concept of the proposed hardware simulator is based on an implementation of the sum-of-cisoids (SOC) method. The hardware simulator is capable of handling any configuration of the cisoid's amplitudes, frequencies, and phases. Each of the cisoids that constitutes the SOC model is implemented using a piecewise polynomial approximation technique. The investigation of the higher-order statistics of the generated fading processes, like the level-crossing rate (LCR) and the average duration of fades (ADF), shows that our design is able to reproduce accurately the key features of realistic channel models that are considered as candidates for the latest wireless communication standards.

show abstract

“…The PDF, CDF, and LCR of the reference model are described by (6), (8), and (11), respectively. The results obtained for the reference model are shown in form of continuous lines.…”

Section: Hardware Test Resultsmentioning

confidence: 99%

Section: Statistical Properties Of Soc Modelsmentioning

confidence: 99%

Section: Statistical Properties Of Soc Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Accurate Hardware Sum-of-Cisoids Fading Channel Simulator for Isotropic and Non-Isotropic Mobile Radio Environments

Vela-Garcia

Castillo

Parra-Michel

et al. 2012

Modelling and Simulation in Engineering

View full text Add to dashboard Cite

show abstract

“…Result of this development is a growing need for a more fundamental understanding of the dominant propagation mechanisms in the mobile radio channel. For this purpose, a number of groups have been active in the measurement of channel characteristics at the level of the individual multipath components, in particular, by separating the multipath waves on the basis of their different propagation delay times and angles-of-arrival (AoA's) [1]- [6]. Delay measurements are usually performed in the time domain using the pseudonoise (PN) correlation approach [7], [8].…”

Section: Introductionmentioning

confidence: 99%

High-resolution angle-of-arrival measurement of the mobile radio channel

Jong

Herben

1999

IEEE Trans. Antennas Propagat.

View full text Add to dashboard Cite

Direction‐of‐arrival statistics of urban propagation channel at 1.9 GHz based on measurement and ray tracing

Líu

Foltz³

2002

Micro & Optical Tech Letters

View full text Add to dashboard Cite

Figure 4 shows the S parameters of an unknown two-port device obtained with the use of the improved TSM technique and the SOLT method. This device consists of two coax-to-microstrip transitions, and two sections of 50-⍀ transmission lines with a series chip capacitor embedded in between. It is a suitable test device, because the magnitudes of its S parameters have a large variation over the measurement frequency range. From Figure 4 it can be seen that the proposed method is very accurate, especially for the phase measurements of S parameters. DISCUSSION AND CONCLUSIONSThe conventional TSM and TOM methods were developed based on the linear calibration equations derived by Silvonen [7]. These two methods are very simple and do not have the phase uncertainty problem and any bandwidth limitation. For the reciprocal test fixtures, the conventional TSM method has four solutions. From Figure 2 one can see that at least one term obtained with any one of these four solutions is not accurate. The experimental results given in Figure 3 shows that the calibration accuracy can be significantly improved using the improved TSM method. It should be noted that for the improved TSM method, choosing any three equations among (1)-(4) will lead to the same solution, and the conventional and improved TSM methods are carried out with the same measurements. The only difference is using different algorithms. So, it is worth using the improved TSM method instead of the conventional TSM method.In principle, the calibration equations will become nonlinear when k is not regarded as an independent variable. When the short is considered as an imprecise standard, the improved TSM method gives a unique analytical solution. Therefore, the problem of phase uncertainty does not exist. From Figures 3 and 4 it can be seen that this improved TSM method has no bandwidth limitation.This analysis, mainly focused on the TSM method. Because the equation style obtained from the measurement with an open is the same as that with a short, the theory established can be applied to the TOM method. According to the present analyses, similar conclusions can be drawn. Kasten, Introducing the through-line deembedding procedure, IEEE MTT-S Int Microwave Symp Dig 1992, pp. 1455-1458. N.H. Zhu, Phase uncertainty in calibrating microwave test fixtures, IEEE Trans Microwave Theory Tech MTT-47 (1999MTT-47 ( ), 1917MTT-47 ( -1922 In the design of communication systems operating in a multipath environment, it is desirable to know the angular distribution of the incoming signal, in particular the angular spread. The angular spread can be directly related to fade duration, level-crossing rate, and coherence distance [1], and is a useful parameter in the design of diversity antenna systems for mobile radio. Through proper design of spatial and pattern diversity it is possible to reduce multipath fading and mitigate co-channel interference [2][3][4][5]. This Letter presents the direction-of-arrival (DOA) statistics in a typical urban environment extracted from both measuremen...

show abstract

Theory and measurement of the angle of arrival and time delay of UHF radiowaves using a ring array

Cited by 37 publications

References 14 publications

An Accurate Hardware Sum-of-Cisoids Fading Channel Simulator for Isotropic and Non-Isotropic Mobile Radio Environments

An Accurate Hardware Sum-of-Cisoids Fading Channel Simulator for Isotropic and Non-Isotropic Mobile Radio Environments

High-resolution angle-of-arrival measurement of the mobile radio channel

Direction‐of‐arrival statistics of urban propagation channel at 1.9 GHz based on measurement and ray tracing

Contact Info

Product

Resources

About