Virtual Subcarrier Aided Channel Estimation Schemes for Tracking Rapid Time Variant Channels in IEEE 802.11p Systems

Han, Seung-Ho; Park, Jinsu; Song, Changick

doi:10.1109/vtc2020-spring48590.2020.9128435

Cited by 8 publications

(35 citation statements)

References 9 publications

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“…Recently, the authors in [11] proposed the E-TRFI estimator that is considered as an upgraded version of the conventional TRFI estimator [10]. The main E-TRFI upgrades are in the reliable and unreliable subcarriers selection algorithm, where the Euclidean distance between the demapped subcarriers is used as a reliability condition.…”

Section: E-trfi Estimatormentioning

confidence: 99%

“…Therefore, the subcarrier is classified as a reliable subcarrier and inserted into the reliable subcarriers set RS i , otherwise, it is considered unreliable and inserted into the unreliable subcarriers set URS i . The extensive simulations performed in [11], show that R i [k] = 0.5 is the bestpredefined threshold for the reliability test. 4) Frequency domain cubic interpolation: After selecting the RS i and URS i sets, frequency-domain cubic interpolation [22] is applied by using the channel estimates in RS i to determine the channel estimates for the URS i , such that…”

Section: E-trfi Estimatormentioning

confidence: 99%

“…Moreover, we can notice the impact of employing the cubic interpolation in TRFI, where it outperforms CDP by around 2dB gain. On the other hand, E-TRFI is not able to improve the TRFI estimator performance due to fixing the E-TRFI reliability test threshold to 0.5 as provided in [11].…”

Section: B Ber Evaluationmentioning

confidence: 99%

“…In [10], the authors proposed the time domain reliable test frequency domain interpolation (TRFI) estimator that utilizes frequency domain interpolation in order to also improve the CDP estimator. Inspired by the conventional TRFI estimator, the authors in [11] proposed an enhanced TRFI E-TRFI estimator, where the employed interpolation utilizes all the subcarriers within the received symbol to improve the interpolation accuracy. After that, a noise attenuation step is employed leading to improved overall performance.…”

Section: Introductionmentioning

confidence: 99%

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Low Complex Methods for Robust Channel Estimation in Doubly Dispersive Environments

Gizzini

Chafii

2022

IEEE Access

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Wireless communications play a significant role in facilitating several mobile applications like unmanned aerial vehicles, high-speed railway, and vehicular communications. Particularly, the concept of connected vehicles brings a new level of connectivity to vehicles. Along with novel on-board computing and sensing technologies, vehicular networks serve as a key enabler of intelligent transportation systems and smart cities. However, in such environments, the propagation medium between the network nodes is highly time-varying leading to considerable reliability challenges. Ensuring communication reliability by the means of accurate channel estimation in such environments is very important. Initially, vehicular communications standards apply the basic least square (LS) estimation that is not enough for the dynamic vehicular environment. Moreover, the frame structure has low pilot density, making channel tracking a difficult task to achieve, especially in high mobility scenarios. Conventional estimators either employ data subcarriers besides pilots in the estimation process, or the estimated channel and noise statistics. Therefore they suffer from significant performance degradation due to high error probability resulting from hard symbol demapping and the sensitivity against the change in the employed channel statistics. The motivation behind this paper is to overcome this challenge by proposing a low complex and robust channel estimation scheme based on truncated discrete Fourier transform (T-DFT) that updates the channel estimates using DFT interpolation without the need for data subcarriers decisions and the estimated channel statistics. Moreover, further performance improvement can be achieved by considering temporal averaging on top of T-DFT estimation. Analytical and simulation results carried out using different vehicular channel models reveal the performance superiority of the proposed schemes compared to conventional estimators while recording a significant decrease in computational complexity and execution time.INDEX TERMS Channel estimation, vehicular communications, DFT interpolation.

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Section: E-trfi Estimatormentioning

confidence: 99%

Section: E-trfi Estimatormentioning

confidence: 99%

Section: B Ber Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Low Complex Methods for Robust Channel Estimation in Doubly Dispersive Environments

Gizzini

Chafii

2022

IEEE Access

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“…The conventional works in [6], [10], and [11] presented the PDP or MMSE-CE methods based on pilot symbols. In [12], the authors presented the CE scheme in IEEE 802.11p/WAVE system under the assumption that the maximum access delay time is known to the receiver.…”

Section: Introductionmentioning

confidence: 99%

Improved Maximum Access Delay Time, Noise Variance, and Power Delay Profile Estimations for OFDM Systems

2022

KSII TIIS

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In this paper, we propose improved maximum access delay time, noise variance, and power delay profile (PDP) estimation schemes for orthogonal frequency division multiplexing (OFDM) system in multipath fading channels. To this end, we adopt the approximate maximum likelihood (ML) estimation strategy. For the first step, the log-likelihood function (LLF) of the received OFDM symbols is derived by utilizing only the cyclic redundancy induced by cyclic prefix (CP) without additional information. Then, the set of the initial path powers is sub-optimally obtained to maximize the derived LLF. In the second step, we can select a subset of the initial path power set, i.e. the maximum access delay time, so as to maximize the modified LLF. Through numerical simulations, the benefit of the proposed method is verified by comparison with the existing methods in terms of normalized mean square error, erroneous detection, and good detection probabilities.

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Reliable Pilot Search Method for Enhancing BER Performance in Underwater Acoustic OFDM Systems with MMSE Estimator

Nguyen,

Phan,

Cao

et al. 2024

Int J Wireless Inf Networks

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Virtual Subcarrier Aided Channel Estimation Schemes for Tracking Rapid Time Variant Channels in IEEE 802.11p Systems

Cited by 8 publications

References 9 publications

Low Complex Methods for Robust Channel Estimation in Doubly Dispersive Environments

Low Complex Methods for Robust Channel Estimation in Doubly Dispersive Environments

Improved Maximum Access Delay Time, Noise Variance, and Power Delay Profile Estimations for OFDM Systems

Reliable Pilot Search Method for Enhancing BER Performance in Underwater Acoustic OFDM Systems with MMSE Estimator

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