Performance analysis of an OFDM-based method for V2X communication

Hossen, Md. Sazzad; Bang, Min-Suk; Park, Yong Il; Kim, Ki-Doo

doi:10.1109/icufn.2014.6876789

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…Thus, setting up future measurement campaigns and proposing more realistic V2V channel models are the two challenges. To ensure frequency non-selectivity and minimum ICI, the performance analysis of orthogonal frequency division multiplexing (OFDM)-based V2V communication system is reported in [16], which aims to alleviate the Doppler spread of vehicles when driving at high speed. Time variation and its time-frequency domain selectivity of channel, which lead to non-stationarity characteristic, are further discussed in [17], and the non-stationarity characteristic of V2V channels is one of the key factors that must be considered in establishing a correct channel model.…”

Section: The Robust Communications In V2vmentioning

confidence: 99%

EKF/UKF-based channel estimation for robust and reliable communications in V2V and IIoT

Yong

Shen

Sun

et al. 2019

J Wireless Com Network

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Cyber-physical systems (CPSs) are characterized by integrating computation, communication, and physical system. In typical CPS application scenarios, vehicle-to-vehicle (V2V) and Industry Internet of Things (IIoT), due to doubly selective fading and non-stationary channel characteristics, the robust and reliable end-to-end communication is extremely important. Channel estimation is a major signal processing technology to ensure robust and reliable communication. However, the existing channel estimation methods for V2V and IIoT cannot effectively reduce intercarrier interference (ICI) and lower the computation complexity, thus leading to poor robustness. Aiming at this challenge, according to the channel characteristics of V2V and IIoT, we design two channel estimation methods based on the Bayesian filter to promote the robustness and reliability of end-to-end communication. For the channels with doubly selective fading and non-stationary characteristics of V2V and IIoT scenarios, in the one hand, basis extended model (BEM) is used to further reduce the complexity of the channel estimation algorithm under the premise that ICI can be eliminated in the channel estimation. On the other hand, aiming at the non-stationary channel, a channel estimation and interpolation method based on extended Kalman filter (EKF) and unscented Kalman filter (UKF) Bayesian filters to jointly estimate the channel impulse response (CIR) and time-varying time domain autocorrelation coefficient is adopted. Through the MATLAB simulation, the robustness and reliability of end-to-end communication for V2V and IIoT are promoted by the proposed algorithms.

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Section: The Robust Communications In V2vmentioning

confidence: 99%