Doppler and angular spreads estimation using the derivatives of the cross-correlation functions

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

doi:10.1109/iccitechnol.2012.6285833

Cited by 2 publications

(4 citation statements)

References 14 publications

(24 reference statements)

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“…In this work, we consider the Laplacian angular distribution for the incoming AoAs. Other distribution can be applied as Gaussian [18] or Uniform ones, and will yield to different algorithms with closed form expressions. Using the first assumption, we linearize the AoAs and knowing that…”

Section: Ccmd Based Estimatormentioning

confidence: 99%

“…In this case, the cross-correlation matrix coefficient for the received signal between the ℎ and the ℎ antenna elements is defined by [18]:…”

Section: Ccmd Based Estimatormentioning

confidence: 99%

“…However, the algorithm can be extended to a MIMO configuration and other channels model such Riciean one. The received signal at the ℎ antenna element is expressed as follows [18]:…”

Section: Signal Modelmentioning

confidence: 99%

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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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Section: Ccmd Based Estimatormentioning

confidence: 99%

“…In this case, the cross-correlation matrix coefficient for the received signal between the ℎ and the ℎ antenna elements is defined by [18]:…”

Section: Ccmd Based Estimatormentioning

confidence: 99%

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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, our objective is to estimate simultaneously the maximum DS, the mean AoA and the AS using a single algorithm. In [36], the three parameters were simultaneously estimated for a SIMO configuration and only the Gaussian angular distribution was considered. To the best of our knowledge, there is no joint estimator in the literature for the three desired parameters in MIMO systems.…”

Section: Introductionmentioning

confidence: 99%

Mean angle of arrival, angular and Doppler spreads estimation in multiple‐input multiple‐output system

Rejeb

Bousnina

Salah

et al. 2015

IET signal process.

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In this paper, the authors propose a new method to simultaneously estimate the mean angle of arrival (AoA), the angular spread (AS) and the maximum Doppler spread (DS). They exploit the multiple-input multiple-output (MIMO) Rayleigh channel with uniform linear arrays at both the transmitter and the receiver. They also consider the Gaussian and the Laplacian angular distributions for the incoming AoAs. The proposed method uses the first and the second derivatives of the received signals cross-correlation functions. They take as benchmarks two estimators from the literature for the three parameters estimates. The spread root multiple signal classification (MUSIC) (SRM) estimator is used for the mean AoA and the AS parameters, whereas the auto-correlation function (ACF)-based approach is considered for the maximum DS estimates. These methods were developed for single-input multiple-output and singleinput single-output systems. In this paper, the authors extend these algorithms to a MIMO configuration. Simulation results show that their algorithm outperforms the SRM one for the mean AoA and the AS estimation. For the maximum DS estimation, their approach offers lower error rate than the ACF-based one when the AS and the mean AoA are small. For higher values of the couple AS and mean AoA, their algorithm presents similar results.

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Doppler and angular spreads estimation using the derivatives of the cross-correlation functions

Cited by 2 publications

References 14 publications

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

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

Mean angle of arrival, angular and Doppler spreads estimation in multiple‐input multiple‐output system

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