Iterative Time-Variant Channel Estimation for 802.11p Using Generalized Discrete Prolate Spheroidal Sequences

This paper presents a two-part decomposition of a spatial filter having to optimize the reception of a useful signal in the presence of an important co-channel interference level. The decomposition highlights the role of two parts of the filter, one devoted to the maximization of the signal to noise ratio and the other devoted to the interference cancellation. The two-part decomposition is used in the estimation process of the optimal reception filter. We propose then an estimation algorithm that follows this decomposition, and the global spatial filter is finally obtained through an optimal-weighted combination of two filters. It is shown that this two-component-based decomposition algorithm overcomes other previously published solutions involving eigenvalue decompositions.

show abstract

“…However, the proposed method can be done on the time axis of the frame such as in [27,28] or on both axis.…”

Section: Discussionmentioning

confidence: 99%

Spatial filter decomposition for interference mitigation

Maoudj

Terré

Fety

et al. 2014

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

show abstract

“…Reconstruct CFM with the estimated channel coefficients by (21) for channel estimation based on CE-BEM, and by (32) for channel estimation based on DPSS-BEM, respectively.…”

Section: Iterative Schemementioning

confidence: 99%

“…Two basis functions are often used, that is complex exponential (CE) functions and discrete prolate spheroidal sequences (DPSS) [15,16]. A number of channel estimation methods based on CE-BEM [17,18] and DPSS-BEM have been proposed [6,[19][20][21][22] for the radio frequency wireless channel. Some of these algorithms are applied to the acoustic channel, e.g., [6,23], but not considering the clustered-sparsity structure.…”

Section: Introductionmentioning

confidence: 99%

Iterative estimation of doubly selective underwater acoustic channel using basis expansion models

Song

Badiey

et al. 2015

Ad Hoc Networks

View full text Add to dashboard Cite

“…A minimum mean squared error (MMSE) filter is used as the equalization method. Furthermore, due to the large carrier spacing Δf = R c /N defined for 802.11p, the inter-carrier interference is small enough to be neglected for the processing at the Rx side [10]. Accordingly, the received signal at subcarrier k and time instant n can be written as …”

Section: A System Descriptionmentioning

confidence: 99%

“…• Iterative channel estimator based on discrete prolate spheroidal sequences (DPSs) in the time and frequency domain [10] [12] (referred to as iterative DPS channel estimator in the rest of the paper): The channel estimation is performed using a reduced-rank MMSE equalizer. The output of the equalizer is used as input to a BCJR decoder [13] after de-mapping and de-interleaving.…”

Section: B Channel Estimation Techniquesmentioning

confidence: 99%

Relaying for IEEE 802.11p at road intersection using a vehicular non-stationary channel model

Bernadó

Gan

et al. 2014

2014 IEEE 6th International Symposium on Wireless Vehicular Communications (WiVeC 2014)

Self Cite

View full text Add to dashboard Cite

Abstract-Traffic safety at road intersections can be improved by establishing reliable communications between vehicles. For vehicle-to-vehicle communications, this requires information exchange in non line-of-sight (NLOS) conditions due to the obstruction by buildings. In order to overcome the low receive signalto-noise ratio (SNR) due to NLOS, we consider to place a relay at road intersections to enhance the reliability of communication links. In this paper, we implement a vehicular non-stationary geometry based stochastic channel model for road intersections, which is an extension of an existing highway channel model. The model is verified by comparison with vehicular channel measurements. Using the proposed channel model, we present link level simulation results for IEEE 802.11p relaying at varying transmitter/receiver locations using different channel estimation techniques. The results show that a relay at the intersection is able to greatly extend the reliable communications region. Besides, in the high SNR regime with moderate or high mobility transmitter and receiver, the block type least square channel estimator is the bottleneck that limits the relaying performance. An advanced iterative channel estimator is also simulated, which exhibits robustness against increased vehicle velocities.

show abstract

Iterative Time-Variant Channel Estimation for 802.11p Using Generalized Discrete Prolate Spheroidal Sequences

Cited by 84 publications

References 45 publications

Spatial filter decomposition for interference mitigation

Spatial filter decomposition for interference mitigation

Iterative estimation of doubly selective underwater acoustic channel using basis expansion models

Relaying for IEEE 802.11p at road intersection using a vehicular non-stationary channel model

Contact Info

Product

Resources

About