Channel estimation for wireless ofdm systems

Özdemir, Mehmet Kemal; Arslan, Hüseyin

doi:10.1109/comst.2007.382406

Cited by 544 publications

(309 citation statements)

References 162 publications

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“…Therefore, from the above observations and analysis we may conclude that the combined parameter f D T (p m -p m-1 ) should be smaller than about 0.5 to avoid the degradation of WF with higher orders. This result is coincide with the sampling theorem in the time domain [18], which is, f D T (p m -p m-1 ) <0.5. Till this point we can say that we have just proved the sampling theorem in the time domain, from a new perspective, i.e., from the coefficients of WF-LS point of view.…”

Section: Substituting (3) Into (2) and Lettingsupporting

confidence: 68%

Channel estimation in OFDM systems operating under high mobility using Wiener filter combined basis expansion model

Zhong

Lei

Dong

et al. 2012

J Wireless Com Network

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In this article, we first thoroughly analyze Wiener filter combined least squares based channel estimation (WF-LS) and then illustrate its limitation in high-speed mobile environments. Based on the analysis, we propose to combine WF with basis expansion model (BEM) based channel estimation to deal with channel estimation in various mobile environments, especially in high-speed cases. The expression for Wiener filter combined BEM based channel estimation (WF-BEM) is derived and the result explicitly considers the effect of intercarrier interference (ICI) that occurs in orthogonal frequency division multiplexing (OFDM) systems when operating under high mobility. The simulation results demonstrate that our proposed WF-BEM is better than WF-LS in time-varying channels, and the performance improvement is significant especially in fast time-varying channels.

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Section: Substituting (3) Into (2) and Lettingsupporting

confidence: 68%

Channel estimation in OFDM systems operating under high mobility using Wiener filter combined basis expansion model

Zhong

Lei

Dong

et al. 2012

J Wireless Com Network

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“…In practical systems, channel estimation is often achieved through the transmission of additional system resources in the form of pilot or training signals [4]. However, transmission of pilots reduces the overall spectral efficiency and a large number of pilots is often required to improve channel estimation [16]. Several forms of channel estimation exist and in practical systems, an adaptive channel estimation is usually implemented at the receiver in order to select the best channel estimation approach for different channel fading environments.…”

Section: Introductionmentioning

confidence: 99%

A selective control information detection scheme for OFDM receivers

2016

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In wireless communications, both control information and payload (user-data) are concurrently transmitted and required to be successfully recovered. This paper focuses on block-level detection, which is applicable for detecting transmitted control information, particularly when this information is selected or chosen from a finite set of information that are known at both transmitting and receiving devices. Using an orthogonal frequency division multiplexing architecture, this paper investigates and evaluates the performance of a time-domain decision criterion in comparison with a form of Maximum Likelihood (ML) estimation method. Unlike the ML method, the proposed time-domain detection technique requires no channel estimation as it uses the correlation (in the time-domain) that exists between the received and the transmitted selective information as a means of detection. In comparison with the ML method, results show that the proposed method offers improved detection performance, particularly when the control information consists of at least 16. However, the implementation of the proposed method requires a slightly increased number of mathematical computations.

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“…Compressed sensing (CS) [1] has recently been applied for pilot-aided OFDM sparse channel estimation [2,3,4]. Reduced pilot overhead and better performance can be achieved by exploring the sparse nature of wireless multipath channels rather than traditional LS or LMMSE channel estimation [2,3].…”

Section: Introductionmentioning

confidence: 99%

“…Reduced pilot overhead and better performance can be achieved by exploring the sparse nature of wireless multipath channels rather than traditional LS or LMMSE channel estimation [2,3]. Most of the researches focus on pilot allocation [5,6,7] and CS reconstruct algorithms [8,9,10,11].…”

Section: Introductionmentioning

confidence: 99%

A novel method on pilot selection for sparse channel estimation in OFDM systems

Gao

Bai

et al. 2015

IEICE Electron. Express

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A novel pilot pattern selection method is proposed in wireless OFDM systems which can be used for sparse channel estimation. It is that cumulative coherence function is proposed to select optimal pilot patterns. This proposed method can characterize the measurement matrix which is made up of pilot patterns well, it can also remedy the drawbacks that better pilot patterns maybe ignored under the metric of coherence parameter. Simulation results demonstrate that optimal pilot patterns will be obtained by the novel method, and better channel estimation performance can be acquired.

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Channel estimation for wireless ofdm systems

Cited by 544 publications

References 162 publications

Channel estimation in OFDM systems operating under high mobility using Wiener filter combined basis expansion model

Channel estimation in OFDM systems operating under high mobility using Wiener filter combined basis expansion model

A selective control information detection scheme for OFDM receivers

A novel method on pilot selection for sparse channel estimation in OFDM systems

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